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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 seeking a foundational Staff Machine Learning Infrastructure Engineer to design and build the large-scale ML training infrastructure that powers our next-generation autonomous transport models. In this role, you will design the high-performance training pipelines and validation environments that enable our world-class robotics and ML researchers to iterate rapidly. You will own the challenge of scaling distributed GPU workloads to support a high volume of concurrent training runs across an expanding vehicle fleet, building a platform that can flexibly run on whatever GPU capacity is available, regardless of provider or environment, directly accelerating innovation across the platform. Training Infrastructure: Design, implement, and scale repeatable machine learning infrastructure utilizing Kubernetes to support large-scale distributed GPU training of novel neural networks. Distributed Computing & Orchestration: Leverage distributed compute frameworks to efficiently manage and execute a high volume of complex ML training jobs concurrently across large GPU clusters. Experiment Tracking & MLOps: Integrate advanced model management and experiment tracking tools to provide researchers with deep observability into training metrics and run performance. Data Engineering Pipelines: Build and optimize high-throughput data ingestion pipelines to seamlessly stream petabyte-scale multi-sensor vehicle logs into training environments. Validation at Scale: Architect robust infrastructure for autonomous model validation and continuous integration testing, ensuring new vehicle policy releases are entirely regression-free. Cross-Functional Collaboration: Partner closely with core robotics engineers and machine learning researchers to eliminate workflow bottlenecks and accelerate the deploy-to-vehicle lifecycle. What we’re looking for 8+ years of professional software engineering career experience Strong backend systems programming skills with proficiency in Go, Python, Java or similar (with familiarity or exposure to Rust considered a plus). Proficiency with Kubernetes for container orchestration and building cloud-agnostic environments from scratch. Experience implementing distributed ML compute frameworks (e.g., Ray) to coordinate large pools of GPUs for heavy, multi-node workloads. Hands-on experience building MLOps pipelines, metadata tracking architectures, and model registries using platforms like MLflow. Prior experience managing high-throughput data pipelines using modern distributed data engines to feed data-hungry neural network architectures. 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 $224,000 - $280,000 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

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. About the Role Build the software platform that connects kitchen teams, cloud services, and robotic production systems. As a Staff Full-Stack Software Engineer, you will own significant product and technical areas from definition through production. You will work across frontend, backend, cloud infrastructure, integrations, and robot-adjacent interfaces. You will partner closely with product, culinary, operations, robotics, firmware and mechanical teams to turn ambiguous operational problems into reliable software. We are looking for someone who remains deeply hands-on while providing technical leadership like shaping architecture, raising engineering quality, mentoring others, and helping the Los Angeles team scale. What you'll do Own and deliver complex full-stack initiatives spanning user interfaces, backend services, cloud infrastructure, and external integrations. Lead technical design and architecture for new capabilities, balancing speed, reliability, maintainability, and operational simplicity. Partner directly with product, culinary, and operations teams to understand workflows, clarify requirements, and define pragmatic solutions. Build software for configuring, observing, and managing kitchen operations, including order intake, menus, recipes, tasks, alerts, and performance visibility. Integrate with delivery and commerce platforms to receive orders, synchronize menus, and communicate order state. Create and integrate operator-facing and robot-adjacent interfaces used in physical production environments. Work alongside with firmware and robotics engineers to ensure cohesive system functionality Own projects through rollout and production support, including testing, observability, incident diagnosis, and iterative improvement. Set a strong example through design reviews, code reviews, technical documentation, and thoughtful engineering tradeoffs. Mentor engineers, improve development practices, and help establish the technical culture and standards of the Los Angeles team. Contribute to hiring and technical calibration as the team grows. What we are looking for 10+ years of strong software engineering experience, including ownership of complex systems or initiatives across multiple components. Demonstrated ability to lead technical design and execution in ambiguous, fast-moving environments. Deep experience in at least one backend language; Go experience is valuable but not required. Strong frontend engineering skills with modern TypeScript frameworks; Vue experience is helpful but not required. Experience designing APIs, services, data models, and asynchronous or event-driven workflows. Strong product judgment and the ability to translate real operational problems into simple, usable software. A track record of improving architecture, reliability, testing, observability, or developer productivity. Clear written and verbal communication, including design documents, technical proposals, operational playbooks, and cross-functional alignment. Comfort working across boundaries and collaborating with both technical and non-technical partners. Ability to mentor other engineers and influence technical direction without relying on formal authority. Nice To Have AWS services, distributed systems, databases, queues, and cross-region architectures. Docker, Kubernetes, Protobuf, Python, Terraform, Git, and continuous delivery systems. Simulation environments, mocked or simulated backend services, and integration testing. SQL, analytics platforms, operational dashboards, or data-intensive product development. Software that interacts with hardware, robotics, logistics, manufacturing, fulfillment, or other physical operations. Building internal tools or operational software used in high-availability, real-time environments. What Makes This Opportunity Different High ownership: Own meaningful product and technical areas rather than a narrow component. Real-world impact: Your software directly affects physical production and daily kitchen operations. Technical leadership: Shape architecture, engineering standards, mentorship, and future team growth. Cross-disciplinary work: Collaborate with robotics, hardware, culinary, operations, and product teams. 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. 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 $213,000 - $269,250 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

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

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

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

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

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

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.