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Cloud Platform - Developer Experience Engineer

On-sitefull timeMid-LevelPittsburgh, United States
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Who we are Lab37 Robotics , is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our clients. What you'll do Take ownership of the developer platform experience that powers how software ships at Lab37. This includes improving CI runner performance and reliability, streamlining the PR landing path, and designing caching strategies that reduce build and test time across a growing monorepo and mixed-language stack. You’ll work with platform and release engineering teams to make builds faster, CI outcomes more predictable, and developer workflows easier to trust. This role is focused on infrastructure and execution quality around CI/CD under Cloud, especially during the transition as services continue to migrate into the cloud monorepo structure. Responsibilities Design and implement caching strategies across build systems and package managers (for example, Turborepo and Bazel remote/local caching, dependency caching, compiler cache layers) Own Bazel build performance and reliability in CI, including remote cache strategy, cache hit-rate tuning, and build graph optimization Own the PR landing experience end-to-end: signal quality, required check ergonomics, merge confidence, and time-to-green optimization Own the workplace provisioning workflow Improve CI runner infrastructure (sizing, placement, AMI/toolchain consistency, utilization) to reduce queue times and job duration variability Build CI observability and reporting for pipeline latency, and cost/performance trends Partner with teams to identify cost efficient opportunities to streamline the developer experience. Improve pre-commit and lint pipelines for speed and reliability without lowering enforcement quality What we're looking for 2+ years in Developer Experience, Build/Release Engineering, Platform Engineering, or CI/CD Infrastructure on AWS Cloud Strong hands-on experience with GitHub (or equivalent CI platform), self-hosted runners, and workflow orchestration patterns Proven track record reducing CI time and improving pipeline reliability at scale Deep understanding of caching across modern build systems (Turborepo/Bazel preferred), package ecosystems, and containerized CI Experience optimizing PR workflows: branch protections, required checks, merge strategies, and developer feedback loops Strong scripting and automation skills (Python, Bash, or similar) and infrastructure-as-code familiarity (Terraform preferred) Comfort working across polyglot stacks (web, backend, C++, embedded) and balancing shared platform needs Strong debugging instincts for non-deterministic CI issues (flaky tests, cache misses, environment drift) Desirable Skills Experience with monorepo migrations and CI redesign during repository restructuring Familiarity with workload right-sizing across runner classes and cost/performance tuning Experience with Turborepo task graph optimization and remote caching Experience with Bazel remote execution/caching architecture in multi-language repos Experience building CI health dashboards and SLOs for engineering productivity Knowledge of security and compliance checks in CI (for example, secret scanning, policy gates) and performance tuning those checks Experience with practical patterns for AI-assisted development in CI/CD and DevEx workflows (for example, agent.md definition and infrastructure, build/debug assistance, and PR summarization) Why join us Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030. Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery. Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you’ll work closely with other teams to ensure our customer’s success. What else you need to know This role is based in our Pittsburgh office. As a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That’s why all of our office-based teams work onsite, five days a week. The base salary range for this role is $130,000 - $164,500 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options). Company-paid life and disability insurance (short- and long-term). Voluntary insurance: accident, critical illness, hospital indemnity. Optional supplemental life insurance for self, spouse, and children. Pet insurance discount. 401(k). Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others? #LI-Onsite

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Software EngineeringVia Greenhouse
Verified7 days ago

Staff Software Engineer - Menu Platform

On-sitefull timeLead / StaffMountain View, United States
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Who we are In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter – to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry’s, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. What you’ll do Our Menu Platform (featured on our tech blog ) is the central hub for comprehensive menu management. It streamlines operations, enhances the customer experience, and provides a single source of truth for menus across online delivery channels such as DoorDash, Uber Eats, Grubhub, etc., and Point-of-Sale (POS) systems such as Square, Toast, Clover, NCR, etc. Key capabilities include real-time menu updates, channel-specific availability, pricing and tax configuration, ingredients and SKU management, bundling and promotions, A/B testing, and automated syncing between POS and delivery channels. For more information, please visit our help center . With 99.99% platform availability and 150K+ restaurants , our platform is a critical infrastructure for restaurants worldwide. As a backend-focused Software Engineer , you will help advance this high-scale, high-impact platform. You will: Build data-driven features that power dynamic menu operations. Contribute to planning and strategy for tools and internal platforms. Design, implement, and test backend services using agile practices. Collaborate cross-functionally with engineering, product, and support teams. Write, debug, and maintain high-quality code across multiple projects. Architect scalable systems capable of supporting large, distributed workloads. Improve platform reliability , performance, and developer experience. Champion innovation and continuously explore new technologies and approaches. What we’re looking for Education: Bachelor’s degree in Computer Science or equivalent experience is required. Experience: 4+ years of professional software engineering experience. Technical Mastery: Strong background in building scalable and reliable distributed systems Experience building large-scale, high-traffic applications Proficiency in Java and modern backend development practices Architectural Skills: Ability to design new systems from scratch and evolve existing architectures. Impact Orientation: Demonstrated track record of meaningful, high-quality contributions. Communication: Clear communicator capable of partnering with both technical and non-technical stakeholders. Why join us Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030. Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery. Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you’ll work closely with other teams to ensure our customer’s success. What else you need to know This role is based in our Mountain View office location. As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That’s why all of our office-based teams work onsite, five days a week. The base starting rate for this role is $224,000 - $284,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options). Company-paid life and disability insurance (short- and long-term). Voluntary insurance: accident, critical illness, hospital indemnity. Optional supplemental life insurance for self, spouse, and children. Pet insurance discount. 401(k). Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others? #LI-Onsite

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Software EngineeringVia Greenhouse
Verified7 days ago

Cloud Platform - Infrastructure Engineer

On-sitefull timeMid-LevelPittsburgh, United States
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Who we are Lab37 Robotics , is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our clients. What you'll do Take on ownership of the cloud platform infra layer that powers Lab37's robotics fleet. This spans building Cloud infra, ML, ETL, CI/CD pipelines that turn raw robot telemetry into actionable analytics, managing data discovery, data lineage and contributing to models training pipelines on our robots, and ensuring the observability and reliability of the entire data stack. Work with a small, high-impact platform team to build the systems that every product team at Lab37 consumes — from data scientists training models, to kitchen operations teams viewing dashboards, to engineers deploying new ML models to robots in the field. Responsibilities Design, build, and maintain scalable ML infrastructure that abstracts away underlying storage, pipeline management, and repetitive environment setup tasks. Implement robust systems for automated model checkpointing, persistent metadata management, and experiment tracking across distributed training runs. Create self-service ML workflows and tooling that empower ML engineers and data scientists to focus on core logic, model architecture, and validation. Build and maintain automated ETL and data ingestion pipelines that stream and transform raw robot telemetry into clean datasets for training and analytics. Contribute to infrastructure-as-code (Terraform) and CI/CD automation for model deployment, data processing, and cloud services. Partner with cloud and embedded engineers to streamline model deployment to fleets of robots in the field and participate in on-call rotations for platform reliability. Monitoring & Cost: Track model drift, system throughput, and optimize cloud compute costs. What we're looking for 3+ years of experience in Cloud infrastructure, MLOps, and data engineering at scale. Hands-on experience designing systems for automated model checkpointing, model registries, and metadata management (e.g., MLflow, Kubeflow etc). Strong experience with Cloud workflow orchestration tools (Argo Workflows, Airflow, Prefect, or similar) and cloud storage architectures. Proven track record building self-service ML platforms, pipeline abstraction layers, or automated developer workflows. Experience with working with embedded engineers. Why join us Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030. Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery. Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you’ll work closely with other teams to ensure our customer’s success. What else you need to know This role is based in our Pittsburgh office. As a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That’s why all of our office-based teams work onsite, five days a week. The base salary range for this role is $140,000 - $174,500 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options). Company-paid life and disability insurance (short- and long-term). Voluntary insurance: accident, critical illness, hospital indemnity. Optional supplemental life insurance for self, spouse, and children. Pet insurance discount. 401(k). Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others? #LI-Onsite

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Cloud, DevOps & SREVia Greenhouse
Verified7 days ago

Engineering Manager - Data Engineering & Insights

On-sitefull timeMid-LevelSeattle, United States
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Who we are In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter – to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry’s, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. Role We are looking for a hands-on Engineering Manager to spearhead our evolution from traditional analytics to a next-generation intelligence platform. This is a great opportunity to lead a team managing the data behind roughly 80% of all online food orders in the US, and modernize our ecosystem by building an impeccable data foundation that moves beyond static charts into live, conversational insights. The Impact: Empower merchants with fast, trustworthy, and actionable metrics that change how they run their businesses every single day. What you’ll do Own Otter Insights End-to-End: Lead the strategy for everything inside Business Manager (pipelines and datasets to the semantic modeling layer and customer-facing embedded analytics). Manage Ingestion to Serving: Drive both real-time and batch pipelines, ensuring canonical datasets and robust APIs are built to empower other internal teams. Scale the Semantic Layer: Oversee frameworks (like Cube/SQLMesh) to ensure metrics and dimensions remain consistent across batch and real-time processing. Drive Data Governance: Establish analytics engineering standards and ensure adoption across broader product teams to maintain high data quality. Ship High-Performance Products: Deliver data-intensive, customer-facing applications including the Analytics App, Analytics Studio, automated reports, and data-sharing APIs. Deploy Safe AI Insights: Build automated AI insights on top of governed metrics, implementing strict guardrails, observability, and customer-impact triage. Build and Coach the Team: Hire, mentor, and retain a cross-functional team of analytics engineers and full-stack/frontend engineers while setting technical direction across the stack. What we’re looking for Blended Team Leadership: 4+ years of experience leading engineering teams across both data/platform and product domains Cross-Functional Team Building: Proven track record building and scaling diverse teams (backend, analytics engineering, and full-stack/frontend) Modern Data Modeling: A strong background in data modeling and semantic layers, alongside a history of delivering B2B or customer-facing analytics products Pragmatic Data Governance: Experience implementing data lineage, catalogs, compliance, and quality frameworks Product & Executive Partnership: Ability to collaborate closely with PMs, designers, and executive stakeholders w Full-Stack Accountability: Comfort owning end-to-end operational health, monitoring incidents, and managing on-call rotations from the data pipeline down to the user interface. Forward-Looking Mindset: A genuine interest in establishing AI-ready data foundations and building AI-enabled insights on top of certified metrics and metadata. Desirable Technical Skills Data Platform & Analytics Engineering Hands-on experience with SQLMesh, dbt, and Cube. Pipeline CI/CD, data observability, and orchestration (Flink / or similar batch tools) ClickHouse, Pinot, or Trino Data access controls, platform hardening, and permissioned sharing Applications & Insights (Full-Stack) Engineering experience across React, TypeScript, and Java (or Kotlin/Scala) Building dashboards, custom charts, automated report scheduling, and data exports Designing and implementing secure, permissioned data-sharing APIs Preferred Domain Experience (A Plus, Not Required) Restaurant, marketplace, or delivery analytics. Familiarity with Otter Business Manager is a plus. Why join us Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030. Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery. Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you’ll work closely with other teams to ensure our customer’s success. What else you need to know This role is based in our Seattle office location. As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That’s why all of our office-based teams work onsite, five days a week. The base salary range for this role is $224,000 - $283,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options). Company-paid life and disability insurance (short- and long-term). Voluntary insurance: accident, critical illness, hospital indemnity. Optional supplemental life insurance for self, spouse, and children. Pet insurance discount. 401(k). Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others? #LI-Onsite

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Engineering ManagementVia Greenhouse
Verified7 days ago

Frontend Engineer

On-sitefull timeMid-LevelNew York, United States
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Who we are Picnic is reinventing lunch at work. We partner with top local restaurants and batch hundreds of orders at a time to deliver high-quality, individually packaged meals—without fees or tips. The result is a seamless, affordable, and joyful experience for employees, and a more sustainable model for restaurants. We recently launched, and early signals have been exceptionally strong. Picnic has been adopted organically by companies across a wide range of industries, with customers discovering and advocating for the product before any marketing. Since launch, we’ve grown incredibly fast and are now entering the 10 → 100 scale phase as we expand across major North American markets. Picnic owns the full stack that powers workplace food delivery: kitchens, courier operations, routing and batching systems, operations tooling, and client applications. This vertical ownership allows us to tightly integrate software, logistics, and operations to deliver reliable, cost-efficient service at scale. About the role We’re looking for a Frontend Engineer to help build and scale Picnic’s real-time logistics and operations platforms. This role is ideal for someone who thrives in ambiguity, enjoys working on complex, high-performance systems, and wants to shape frontend architecture that directly powers real-world operations. You’ll work across web and mobile surfaces, partner closely with backend and operations teams, and play a key role in defining how we build, ship, and scale frontend systems at Picnic. What you’ll do Design and build high-performance React applications powered by WebSockets, SSE, and GraphQL subscriptions. Contribute to and shape our courier mobile apps built in React Native. Lead technical design for complex features and systems, from initial architecture through production rollout Own projects end-to-end, driving execution, technical decisions, and cross-functional alignment Improve frontend reliability, latency, and scalability in a real-time, high-throughput environment Lead debugging, incident response, and performance investigations for frontend systems Mentor and coach engineers, raising the bar for frontend engineering across the team What we’re looking for 2+ years of experience in software engineering, with deep frontend expertise Strong experience with TypeScript and modern web application development Solid understanding of client networking, async programming, performance optimization, caching, and client-side state management Experience integrating with GraphQL and REST APIs Proven ability to lead technical initiatives and influence architecture and best practices Experience mentoring junior engineers and supporting team growth Comfort working outside your immediate comfort zone and adapting as the product and team evolve Preferred Qualifications Experience building or operating delivery, logistics, or real-time systems at scale Full-stack experience and an understanding of backend tradeoffs and system design Track record of improving developer productivity through tooling, patterns, or process improvements Familiarity with modern frontend architecture best practices, including performance, security, and usability Why join us Massive market opportunity: Online food delivery continues to grow rapidly, creating room for durable, category-defining companies Real impact: You’ll help reshape how restaurants succeed in delivery while improving everyday experiences for thousands of workers Ownership and influence: Frontend is core to Picnic’s operations—your work directly impacts couriers, operators, and customers Strong engineering culture: You’ll collaborate closely with experienced engineers and leaders who care deeply about craft, impact, and growth What else you need to know This role is based in our New York office. We believe the best ideas emerge from close collaboration, especially when building new products and redefining how an industry works. As a result, Picnic operates in-office five days a week for all non-field roles. The base salary range for this role is $​​ 145,000 - $183,250 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options) Company-paid life and disability insurance (short- and long-term) Voluntary insurance: accident, critical illness, hospital indemnity Optional supplemental life insurance for self, spouse, and children Pet insurance discount 401(k) Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others? #LI-Onsite

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Software EngineeringVia Greenhouse
Verified7 days ago

ML PhD Software Engineer Intern

On-siteinternshipInternshipWorldwide (On-site)
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Who we are Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We’re changing that. Atoms builds Physical AI— real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive. This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don’t just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale. We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life. If you want to work on hard problems with real-world impact, join us. Who you are Actively pursuing a PhD degree in Machine Learning, AI, or a related technical field Graduating in 2027 or 2028 3.7 GPA Minimum Leading researcher in Machine Learning and Gen AI A problem-solver who thrives in tackling diverse technical challenges and demonstrates a clear track record of growth and learning A take-charge individual who exhibits ownership and takes pride in writing clean, maintainable, and fun code Have advanced programming experience in one or more application or systems languages (Go, Python, Ruby, Java, C/C++, etc.) What you’ll do As an engineering intern at Atoms, you'll be an integral part of building out the state-of-the-art intelligent machine for the food industry. Your role will encompass a diverse range of responsibilities, including: A robust and adaptable LLM evaluation framework that enables continuous performance monitoring and identification of areas for improvement. Development of advanced RL techniques tailored to Atoms's LLM applications, leading to more accurate, reliable, and user-satisfying conversational experiences. Accelerated development and deployment of next-generation LLM features for Atoms’s LLMs applications. Published research findings and open-sourced code (where appropriate) contributing to the broader AI community and enhancing Atoms's reputation. Why join us At Atoms, you’ll work on one of the defining challenges of our time—bringing automation into the physical world to drive real, lasting impact. We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what’s known and building what doesn’t yet exist. The work is ambitious and often challenging, but it’s grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team—so we invest in both, creating an environment where you can do your best work and grow. What else you need to know This role can be based in Seattle, Los Angeles, Mountain View or San Francisco. Atoms is a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That’s why all of our office-based teams work onsite, five days a week. The base starting rate for this role is $70.00 per hour. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Application Timeline: Getting a head start on your job search? So are we! We’re building our candidate pipeline now for our upcoming Winter/Summer internship positions. Feel free to submit your resume today, we’ll be reviewing applications over the coming weeks and will reach out directly if your background is a match when interviews begin in the Fall.

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Software EngineeringVia Greenhouse
Verified7 days ago

Operations Analytics Engineer

On-sitefull timeMid-LevelLos Angeles, United States
Apply Now

Who we are In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need a passion for technology. We believe in the joy of serving others, and that's why we created Otter – to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry’s, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. About the Role We’re looking for an Operations Analytics Engineer to join our data & operations team. In this hybrid role, you’ll monitor the health of our top revenue products through data: identifying anomalies in performance, surfacing issues across data pipelines or operations, and helping ensure that what we deliver to customers is both accurate and actionable. This is not just a technical data quality role. You’ll work across systems and teams to proactively detect drops, gaps, or unexpected patterns in revenue and product performance and help determine whether they stem from technical failures, operational gaps, or real-world customer behavior. Your work will guide fast triage, help us prioritize fixes, and improve the trust stakeholders have in our platform. What you’ll do Monitor core KPIs across customers, segments, and systems to identify unexpected drops, spikes, or anomalies Investigate the root cause of business performance issues, whether due to data issues, operational breakdowns, or product changes Build and maintain dashboards, alerts, and monitors to detect early signs of degradation in revenue recapture outcomes Partner with Engineering to debug technical issues; with Operations to flag workflow breakdowns; and with Product to validate system behavior Maintain and evolve business health checks that serve as our early-warning system Create documentation and playbooks to improve response times and support proactive quality practices across the organization What we’re looking for Strong analytical skills and experience working with business KPIs and operational metrics Proficiency in SQL and experience with dashboarding/BI tools (e.g., Looker, Tableau, Mode) A cross-functional mindset: you’re comfortable working with data engineers, product managers, and ops specialists alike Strong sense of ownership and bias for action: you don’t just surface issues, you help solve them Bonus: experience with data quality monitoring tools or operational alerting systems Why join us Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030. Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery. Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you’ll work closely with other teams to ensure our customer’s success. What else you need to know This role is based in our Los Angeles office location. As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That’s why all of our office-based teams work onsite, five days a week. The base salary range for this role is $93,000 - $109,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options). Company-paid life and disability insurance (short- and long-term). Voluntary insurance: accident, critical illness, hospital indemnity. Optional supplemental life insurance for self, spouse, and children. Pet insurance discount. 401(k). Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others? #LI-Onsite

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Data Engineering & BIVia Greenhouse
Verified7 days ago

Robotics Controls Engineer

On-sitefull timeMid-LevelSan Francisco, United States
Apply Now

Who we are Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We’re changing that. Atoms builds Physical AI— real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive. This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don’t just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale. We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life. If you want to work on hard problems with real-world impact, join us. What you’ll do We're looking for a Robotics Controls Engineer to develop and maintain the core control systems that enable autonomous haul trucks to operate safely in mining environments. You'll work on localization, path following, longitudinal control, and steering systems that run on 200+ ton vehicles. Responsibilities include the following: Design, implement, and tune control algorithms for autonomous vehicle systems Build Localization & State Estimation, Longitudinal Control, Lateral and Control Navigation. Develop state estimation pipelines that fuse multiple sensor modalities Analyze system performance through simulation and field testing Debug control issues using logged data and identify root causes Collaborate with perception, planning, and hardware teams to integrate control systems Write production-quality Python code that runs reliably and efficiently Travel note: This role requires periodic travel to customer sites (up to 15%) Schedule note: Some schedule flexibility may be required during deployments What we’re looking for BS/MS/PhD in Robotics, Mechanical Engineering, Aerospace Engineering, Electrical Engineering or related field required 2+ years of professional (non-internship) software development experience Strong foundation in classical control theory (PID, lead/lag compensation, stability analysis) Experience with state estimation (Kalman filters, EKF/UKF) Proficiency in Python and NumPy/SciPy for numerical computing Understanding of vehicle dynamics and kinematics Ability to read and debug real-time control code Experience deploying localization and controls algorithms on real-world systems Experience with Model Predictive Control (MPC) Familiarity with path following algorithms (Stanley, Pure Pursuit) Background in signal processing and filter design Knowledge of system identification techniques Experience with heavy equipment or off-highway vehicles Knowledge of CAN bus and vehicle interfaces ROS or similar robotics middleware experience Familiarity with modern ML techniques for controls problems Technical Environment Languages: Python (primary), C++ (optimization-critical paths) Libraries: NumPy, SciPy Hardware: NVIDIA Jetson, GPS/RTK, IMUs, CAN interfaces Testing: Field testing on haul trucks, log replay, simulation Why join us At Atoms, you’ll work on one of the defining challenges of our time—bringing automation into the physical world to drive real, lasting impact. We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what’s known and building what doesn’t yet exist. The work is ambitious and often challenging, but it’s grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team—so we invest in both, creating an environment where you can do your best work and grow. What else you need to know This role is based in our San Francisco office location. As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That’s why all of our office-based teams work onsite, five days a week. The base salary range for this role is $119,000 - $161,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards. Benefits Summary (USA Full-Time Exempt Employees): Medical, Dental, Vision, Disability, and Life Insurance Flexible Spending Account / Health Savings Account Options 401(k) Equity Sick Time, Unlimited Flexible Time Off, and Paid Holidays Paid Parental Leave Pre-Tax Commuter Benefit Plan Team lunch in our SoMa office every Tuesday and Thursday Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others? #LI-Onsite

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Hardware & EmbeddedVia Greenhouse
Verified7 days ago

Robotics Lead

On-sitefull timeLead / StaffSan Francisco, United States
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Who we are Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We’re changing that. Atoms builds Physical AI— real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive. This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don’t just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale. We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life. If you want to work on hard problems with real-world impact, join us. What you’ll do We are looking for a Robotics Lead to provide technical leadership across the systems that turn perception, prediction, and planning into safe and reliable autonomous vehicle behavior. You will help define the architecture and technical direction of our robotics stack, working across AI, perception, planning, controls, localization, and vehicle systems. This is a hands-on technical leadership role for someone who understands how complex autonomous systems come together and can drive difficult problems from architecture through real-world deployment. Define and drive the technical direction of the robotics and autonomy stack. Lead architecture and integration across perception, localization, prediction, planning, controls, and vehicle systems. Develop and improve algorithms for motion planning, trajectory generation, decision-making, and vehicle control. Own complex system-level problems that span multiple components of the autonomy stack. Diagnose real-world autonomy failures and drive improvements across algorithms, software, sensors, and vehicle systems. Establish evaluation and validation methodologies that connect component-level performance to vehicle behavior. Partner with AI Research and Perception teams to integrate learned models into the broader autonomy system. Work closely with software, hardware, firmware, simulation, and vehicle engineering teams to bring autonomous capabilities into production. Provide technical mentorship and raise the engineering bar across the robotics organization. What we’re looking for Significant experience developing robotics, autonomous vehicles, or other complex autonomous systems . Deep technical expertise in one or more of: Motion planning and trajectory generation Prediction and decision-making Localization and state estimation Controls Robotics systems architecture Autonomous vehicle systems Strong understanding of how perception, planning, localization, controls, and vehicle systems interact within a production autonomy stack. Strong programming skills in C++ and/or Python . Experience designing and debugging complex real-time robotic systems. Demonstrated ability to lead major technical initiatives and make architecture-level decisions. Experience taking robotics or autonomy capabilities from development through real-world deployment. Strong communication skills and ability to work across highly specialized engineering teams. Preferred Qualifications Experience building production autonomous vehicle systems. Experience with real-time, safety-critical, or highly reliable robotic systems. Knowledge of vehicle dynamics, sensor systems, and embedded or onboard compute. Experience with simulation, closed-loop evaluation, and autonomous-system validation. Experience integrating machine learning models into robotics or autonomy systems. Experience diagnosing long-tail failures using vehicle logs, simulation, and real-world testing. Experience mentoring senior engineers or providing technical leadership across multiple teams. Why join us At Atoms, you’ll work on one of the defining challenges of our time—bringing automation into the physical world to drive real, lasting impact. We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what’s known and building what doesn’t yet exist. The work is ambitious and often challenging, but it’s grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team—so we invest in both, creating an environment where you can do your best work and grow. What else you need to know This role is based in our San Francisco office. Atoms is a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That’s why all of our office-based teams work onsite, five days a week. The base salary range for this role is $255,000 - $322,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards. Benefits Summary (USA Full-Time Exempt Employees): Medical, Dental, Vision, Disability, and Life Insurance Flexible Spending Account / Health Savings Account Options 401(k) Equity Sick Time, Unlimited Flexible Time Off, and Paid Holidays Paid Parental Leave Pre-Tax Commuter Benefit Plan Team lunch in our SoMa office every Tuesday and Thursday Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others? #LI-Onsite

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Hardware & EmbeddedVia Greenhouse
Verified7 days ago

Robotics Planning Engineer

On-sitefull timeMid-LevelSan Francisco, United States
Apply Now

Who we are Pronto AI is a global leader in commercializing autonomous vehicle (AV) technology, deploying Autonomous Haulage Systems (AHS) that automate operations in mines, quarries, and construction sites worldwide. While much of the industry remains in R&D, we deliver real, production-ready autonomy that is already operating in the field. We are on a mission to make mining operations safer, smarter, and more efficient through cutting-edge technology, and we are building toward becoming the world’s first profitable AV technology company. What you’ll do We're looking for a Robotics Planning Engineer to develop the high-level autonomy systems that coordinate fleets of autonomous haul trucks in mining environments. You'll work on path planning, multi-vehicle coordination, and dispatch systems that operate at the site level — deciding where trucks go, when they go, and how they interact with each other. Motion planning — A robust stack, from path planning to trajectory optimization, to generate smooth and safe trajectories for 200+ ton trucks to follow. Coordination planning — Systems to simultaneously coordinate the motion of multiple vehicles with intersecting trajectories to avoid collision and maximize throughput. Fleet planning — Algorithms that dynamically translate the site-wide state, like loading and dumping locations, to actively managed assignments for each truck. Design and implement motion planning algorithms for non-holonomic vehicles Develop multi-agent coordination systems that prevent deadlocks and collisions Build simulation and visualization tools for validating planning algorithms Optimize planning algorithms for real-time performance in production environments Collaborate with controls engineers to ensure planned paths are executable Debug fleet-level issues using logged data and replay tools Travel note: This role requires periodic travel to customer sites (up to 5%) Schedule note: Some schedule flexibility may be required during deployments What we’re looking for BS/MS/PhD in Robotics, Computer Science, or related field required 2+ years of professional (non-internship) software development experience Strong foundation in motion planning algorithms Experience with computational geometry (collision detection, polygon operations) Proficiency in Python and NumPy for numerical computing Understanding of vehicle kinematics and nonholonomic constraints Ability to analyze algorithm complexity and optimize for real-time performance Preferred Qualifications Experience with multi-agent coordination or scheduling algorithms Familiarity with Dubins/Reeds-Shepp curves for non-holonomic planning Background in trajectory optimization (DCBF, MPC-based planners) Experience with graph algorithms (Dijkstra, heuristic search) Knowledge of GEOS, Shapely or other computational geometry libraries Experience with fleet management or dispatch systems Familiarity with Redis, ZeroMQ, or similar infrastructure Familiarity with modern ML techniques for planning problems Technical Environment Languages: Python (primary), C++ (performance-critical modules) Libraries: NumPy, Shapely, Numba, SciPy Testing: Simulation replay, config-driven scenario testing Why join us Work on real, production-deployed autonomy. Build technology that directly improves safety, efficiency, and productivity. Tackle complex challenges in demanding, real-world environments. Be part of a fast-moving team with high ownership and impact. See your work deployed and making a difference in the field. Collaborate closely with experienced engineers and industry operators. What else you need to know This role is based in our San Francisco office location. As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That’s why all of our office-based teams work onsite, five days a week. The base salary range for this role is $119,000 - $161,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards. Benefits Summary (USA Full-Time Exempt Employees): Medical, Dental, Vision, Disability, and Life Insurance Flexible Spending Account / Health Savings Account Options 401(k) Equity Sick Time, Unlimited Flexible Time Off, and Paid Holidays Paid Parental Leave Pre-Tax Commuter Benefit Plan Team lunch in our SoMa office every Tuesday and Thursday Benefits are subject to change at the company's discretion. Pronto accepts applications on an ongoing basis. Ready to join us as we serve those who serve others? #LI-Onsite

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Hardware & EmbeddedVia Greenhouse
Verified7 days ago

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