Careers at Waabi

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai Waabi builds generative AI for the physical world, starting with autonomous trucks. The intelligence only ships if the system underneath it is safe by design — and that safety has to be carried all the way down, from the vehicle-level safety concept into the embedded platform's requirements, architecture, and interfaces. As a Systems Engineer on our Embedded Systems team, you'll own that translation. Our overarching systems and safety group defines the vehicle-level safety concept — the hazard analysis, the safety goals, the functional safety concept. You'll be their embedded counterpart: taking that concept and decomposing it into an embedded architecture and technical safety requirements that our electrical engineering and embedded software groups can build against. You'll live on the left side of the ISO 26262 V at the embedded level, turning a functional safety concept into technical requirements and a hardware/software architecture the whole team can trust — and you'll be the person who keeps the embedded org fluent in the wider world of automotive standards. You Will… Partner with the systems and safety group. Take the vehicle-level safety concept, safety goals, and functional safety requirements as your inputs, and feed embedded expertise back into their hazard analysis and concept work. You're the bridge between their concept and our hardware and firmware. Own the embedded technical safety concept. Derive technical safety requirements from the functional safety concept allocated to the embedded system, and allocate each to the right architectural element. Architect across hardware and software. Define the embedded system architecture and the hardware/software partition, including the hardware-software interface (HSI), so both groups design against one coherent picture. Manage requirements and traceability. Maintain bidirectional traceability from the safety goals handed down to you all the way to hardware and software requirements, and keep the work products that feed the safety case. Steward automotive standards for the embedded org. Stay current on the standards that apply to our work — functional safety, SOTIF, cybersecurity, autonomous-product safety, process and component qualification — and fold them into how the embedded team designs, documents, and works day to day. Set up the right side of the V. Your requirements and architecture define what verification and validation later prove. You'll partner closely with the V&V effort — and support Development Interface Agreements (DIAs) with OEM partners and suppliers — without owning the downstream test execution yourself. Qualifications BS/MS in Electrical Engineering, Computer Engineering, Systems Engineering, or a related field — or equivalent hands-on experience. 8+ years in embedded systems, with real depth spanning both hardware and software. Strong ISO 26262 experience concentrated on the system-design phase (Part 4) and its handoffs to hardware (Part 5) and software (Part 6): deriving technical safety requirements from a functional safety concept, system architectural design, and hardware/software allocation. Working familiarity with the broader automotive standards landscape — and the judgment to operationalize it — including SOTIF (ISO 21448), automotive cybersecurity (ISO/SAE 21434), autonomous-product safety cases (UL 4600), Automotive SPICE (ASPICE), and component/coding standards such as AEC-Q10. Fluency with requirements management and traceability — you've lived in a tool like Polarion and know why traceability matters when the safety case is questioned. Enough range to read a schematic and reason about embedded C/C++/Rust, so your hardware/software partitioning is grounded in what each side can actually implement. A clear grasp of the full V, so the left-side work you produce genuinely sets the right side up to succeed. Nice-to-haves Experience standing up or maturing a standard (ASPICE, 21434, or similar) inside an engineering org, not just complying with one. SysML or model-based systems engineering. AV, ADAS, or other complex safety-critical domain experience. Direct experience authoring or negotiating DIAs with an OEM.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai You will… Own the creation, documentation, alignment and verification of vehicle platform requirements at Waabi and define ways for how to describe and evaluate them efficiently and effectively Bring an in-depth understanding of sensors, compute and actuators used in self-driving vehicles and drive an architecture with requirements that generate a simple yet very safe highly autonomous vehicle platform Act as a central point of contact at Waabi for specific vehicle platform requirements and related tests and communicate updates, progress and potential roadblocks to stakeholders at all levels Help drive Waabi’s safety culture through application of safety standards and methodologies in your area of responsibility across all supporting teams at Waabi including Systems Engineering, Hardware and Software Define necessary improvements for our highly realistic simulator to effectively verify most vehicle platform aspects under all required conditions and work with other teams at Waabi to get these improvements designed and implemented Own the writing and tracking of tests and test executions in line with company project milestones Continuously evaluate and enhance Waabi’s vehicle platform capabilities, look for novel approaches, identify and apply lessons learned and ensure a detailed and comprehensive documentation that is easily accessible Implement tools and methodologies to streamline and automate the vehicle platform requirement processes where applicable Work with external partners on delivering a safe vehicle platform that has been verified and validated to support a strong safety case for the complete self-driving system Qualifications: Undergrad required; Masters or PhD within an engineering discipline preferred 3+ years of automotive, robotics, aerospace or related industry experience Experience with requirements-specifications and metrics Experience with executing complex vehicle test campaigns Experience with methods and standards such as ISO 26262, SOTIF (ISO 21448) and / or UL 4600 Strong fundamentals in mathematics, engineering and physics and basic understanding of vehicle dynamics Excellent data analysis skills with modern tools such as Python or Matlab Open-minded and collaborative leader who is eager to provide guidance and has the willingness to help others Passionate about self-driving technologies, solving hard problems, and creating innovative solutions Experience with vehicle actuation (brakes, steering, propulsion) Bonus/nice to have: Experience in launching a driverless product Experience in leading small teams of systems engineers Experience in the automotive self driving industry Experience building software systems from scratch Experience in robotics or machine learning Proficiency with data mining, mathematics, and statistical analysis The US yearly salary range for this role is: $140,000 - $190,000 USD in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai You Will… V&V Execution and Quality Assurance Characterize the vehicle and derive requirements, decomposing them to module and component level with bidirectional traceability to test evidence. Support / co-own the mechanical or electrical DVP&R - plan and execute functional and performance testing on prototypes and production-intent hardware. Cooperate with mechanical and electrical V&V to perform EMI / EMC, vibration, shock, thermal, and environmental testing Build and maintain HIL benches and custom fixturing and automate regression testing Identify and troubleshoot firmware functionality, compatibility, and performance issues; lead root cause analysis and drive corrective actions to closure. Cross-Functional Collaboration Partner with design, systems, quality and software engineers to integrate electrical V&V and Design for Test (DfT) into the wider program. Document and present test results and recommendations to design teams and program leadership to drive improvements. Regulatory Compliance and Certification Manage all aspects of Compliance Testing and Certification while adhering to ISO 26262 and UL 4600. Plan and execute critical compliance tests in accordance with standards such as ISO 16750, 11451/11452, UL, CE, IEC and various OEM standards. Certification Management Coordinate with external accredited laboratories for pre-compliance and formal certification testing. Oversee the analysis of test failures, perform root cause analysis on non-compliance issues, and maintain all detailed test reports, compliance logs, and documentation required for certification. Process and Toolchain Development Build and evolve Waabi's V&V methodology, automation toolchain, and bench infrastructure. Assess a new OEM's DV/PV process quickly and advise leadership on level of effort, complexity, and cost relative to Waabi's. Qualifications: 5 + years in an Electrical or Firmware / Software V&V role, especially automotive. Minimum of a Bachelor’s of Science in Engineering. Understand all aspects of an automotive DV/PV process. Deep understanding of the automotive PPAP process. Working knowledge with automotive APQP. Experience working directly with Automotive OEMs, Tier 1 & 2 suppliers. “On your feet” knowledge of International automotive environmental and safety standards, including ASTM B117, SAE J1455, or ISO 16750 and 11451/11452. Working knowledge of AEC standards. Ability to adjust V&V Process to support various OEMs. Experience with CANbus, Python, Shell, Unix OS, SPICE. Bonus/nice to have: Experience working in an Agile/Scrum environment. Technical experience in developing self-driving vehicles. Experience with the NRTL (UL) and CE certification. Experience directly instrumenting cars and trucks to model the mechanical or electrical system and / or perform shock, vibration, EMC testing. Experience with SolidWorks, ANSYS, Polarion. Accelerated life testing, HALT/HASS, and Weibull or reliability demonstration analysis. Ability to perform risk analysis and prevention, FMEA, FTA, RCA.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai As Waabi continues to grow rapidly, the Physical Infrastructure team is looking for hands-on engineer near Dallas, TX to build and support computers and network systems powering our autonomous fleet! Do you run an unnecessarily complex home lab just for the joy of building, tinkering, and optimizing it? Are you passionate about modern hardware, love tackling though linux problems, and thrive on designing better systems from scratch? If so, we'd love to talk! The ideal candidate would partner closely with the Vehicle Fleet Operations and Hardware teams to support and implement vehicle computers and networks as well as contribute to solutions to move large amount of data from vehicles. You will... Work alongside a team of multidisciplinary Engineers to enable safe self-driving at Scale. Collaborate with hardware team on vehicle compute and network implementation. Work with software and hardware teams on OS and software delivery into vehicles. Assist with vehicle compute, network, and sensors diagnostics as needed. Work with software and hardware teams to implement and maintain high volume data pipelines. Build tools, systems and infrastructure to support vehicle development. Collaborate with IT on facility infrastructure where necessary. Participate in on-call program to support vehicle operations. Qualifications: BS, MS/PhD in Computer Science or similar technical field of study or equivalent practical experience. 2+ years of relevant industry experience. Good understanding of computer and network hardware. Experience with on-premise servers and storage systems. Experience working with Linux operating systems. Experience building and running Docker containers. Experience with Python and Bash. Open-minded and collaborative team player with the willingness to help others. Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus: Ability to travel occasionally within the United States. Experience with rugged wireless technologies (ie. LTE/5G modems). Experience with scale-out storage systems. Experience working with public cloud platforms (AWS preferred). Experience with infrastructure as code systems (Ansible and Terraform preferred). Familiarity with security concepts, access management, and data security. Experience with automated building of OS images for deployment onto physical computers. Familiarity with self-driving vehicle sensors and hardware. Some experience in reading and developing production quality software. Familiarity with GO, Rust or C++ ecosystems. Experience with building platform services that enable other teams to do their best work.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai The Mapping team at Waabi develops the foundational spatial intelligence of our autonomous fleet. As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven mapping infrastructure. We are looking for a strong software generalist who thrives on variety, can easily pivot across different projects, and tackles complex distributed systems problems from data ingestion to real-time serving. You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We value original, high-impact ideas and rigorous experimental validation. You will... Act as a versatile engineering powerhouse, quickly ramping up on new domains and fluidly transitioning between backend pipelines, API design, and vehicle-side serving. Be part of a multidisciplinary team of Engineers and Research Scientists using AI-first approach to create high-definition (HD) maps at scale. Architect and build the engineering foundations of our long-term mapping infrastructure. Build robust, scalable pipelines to automatically create, validate, maintain, and visualize massive amounts of data. Design and develop comprehensive metrics, observability, and anomaly detection across various systems. Partner directly with downstream customers (e.g. Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive APIs. Engineer real-time, high-availability, and low-latency systems for fleet of self-driving vehicles. Qualifications: BS, MS, or PhD in Computer Scientist, Electrical Engineering, or related field, with a minimum for 5 years of industry experience. Strong computer science fundamentals with an aptitude and willingness to quickly learn domain-specific concepts like 3D geometry and spatial data structures. Prove ability to work across various programming languages, seamlessly bridging high-level Python development with robust systems-level engineering in C++ or Rust. Solid experience in designing, developing, and deploying production-quality, fault-tolerant software at scale (moving well beyond prototypes/proofs of concept). Hands-on experience building distributed systems on modern cloud platforms. Bonus/nice to have: A true generalist mindset: you enjoy wearing multiple hats, diving into unfamiliar codebases, and picking up new technologies as the mission dictates. Prior experience with autonomous vehicles, HD mapping, or robotics. Familiarity with 3D geometry, geospatial systems, spatial databases, and tooling such as QGIS, GDAL, or PostGIS. Familiarity with Machine Learning pipelines or integrating AI models into production engineering systems. Experience with large-scale data processing systems and orchestration framework (e.g., Apache Spark, Airflow, Ray, Kafka). Open-minded and collaborative team player with strong willingness to help others.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai At Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to our success is the ability to monitor and report on the performance of our software, platform, and fleet with rigor and reliability. We are looking for a hands-on Applied Data Scientist to help drive a unified view of our multi-faceted evaluation methodology. This is a highly collaborative, cross-functional role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will work alongside experts across these teams to deliver a comprehensive, cross-modal analysis of our autonomy system that translates directly into actionable insights for the entire organization. You will... Collaborate with cross-functional teams to provide comprehensive analysis on autonomy system performance across Waabi World (Simulation), Track, and Public Road testing. Develop and maintain sophisticated, cross-modal dashboards that provide a unified and trustworthy view of the performance of our systems, tracking progress toward critical company milestones. Partner with Data Platform and Evaluation teams to shape the evolution of eval tooling and pipelines, ensuring our infrastructure remains scalable, automated, and capable of validating complex system requirements across all testing modalities. Act as a key partner to Safety and Autonomy teams, ensuring that our automated reporting faithfully captures the technical intent and requirements of our system KPIs. Proactively monitor and investigate anomalies in metrics to ensure stakeholders are making decisions based on reliable, high-fidelity data. Qualifications: Minimum of 3+ years of professional experience in an analytical role (e.g., Data Science, Systems Evaluation, or Product Analytics). BS/MS in a quantitative field such as Computer Science, Engineering, Statistics, Physics, or similar. Strong command of SQL, and familiarity with Python for data manipulation and prototyping. Experience building clear, automated dashboards using modern BI tools or custom frameworks. Experience working with internal cross-functional partners/stakeholders Open-minded and collaborative team player with willingness to help others Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have: Experience in the Autonomous Vehicle or Robotics industry. Experience with large scale databases and analytics Practical understanding of statistical concepts (e.g., hypothesis testing, significance) as applied to real-world performance measurement

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai You will... Develop the software and firmware that powers Waabi's HIL benches — test runners, simulation/stimulation interfaces, fault-injection tooling, and bench control software. Build simulation interfaces that feed synthetic vehicle dynamics (pose, speed, sensor data) to embedded modules under test, and stimulation tooling that injects CAN/Ethernet messages to trigger logical state changes. Implement automated test frameworks and scripts to run requirement-based tests (timing, fault handling, mode transitions, disengagements) on real hardware. Integrate HIL test execution into CI so firmware and software releases are automatically validated on benches before reaching the vehicle, including test-modality tracking and result reporting. Develop instrumentation and data acquisition software for hardware timestamping, analog measurement triggers, and endurance-run analysis. Work hands-on at the bench: bring up new bench configurations, debug hardware/software interactions, and support engineers across Embedded, Autonomy, and V&V running tests on HIL. Analyze and document test data for hardware, autonomy, and systems engineering teams. Qualifications: Bachelor of Science in Computer Science, Computer Engineering, Electrical Engineering, or equivalent industry experience. 4+ years of experience developing software for HIL, embedded test automation, or real-time test systems. Strong programming skills in Python; working proficiency in C/C++/Rust for embedded or real-time contexts. Hands-on experience with automotive communication interfaces — CAN, automotive Ethernet — including message injection, logging, and debugging (e.g., CANalyzer, python-can, SocketCAN). Experience building test automation frameworks and integrating hardware tests into CI pipelines. Comfortable working with lab equipment (oscilloscopes, DAQs, power supplies, E-loads) and debugging at the hardware/software boundary. Strong Linux proficiency for command-line workflows, system utilities, and bench infrastructure. Excellent technical writing skills for effective communication and documentation. Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus: Experience with real-time operating systems (RTOS) and real-time Linux. Experience with plant modeling and vehicle dynamics simulation (MATLAB/Simulink, dSPACE ASM, CarSim, or custom). Familiarity with functional safety standards (ISO 26262) and safety MCU architectures. Experience with GUI or dashboard development for test operators (PyQt, web-based tooling). Firmware development experience on automotive microcontrollers.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai You will... - Create Autonomous Vehicle (AV) Requirements using analytical and numerical methods, with focus on motion planning, motion control and Vehicle Dynamics (VD). - Own the definition and requirements development of the Motion Planning, Motion Control and low level vehicle control contract. - Create methods and use physical and simulated data to inform and verify principled requirements Advance VD simulation in AVs. Qualifications: - Strong foundation in AV systems in motion planning, motion control and VD and low level actuator control. - Strong physics and control systems knowledge. - Knowledge of Systems Engineering and Verification and Validation (V&V) best practices. - Knowledge of functional safety standards (i.e. ISO 26262). - Comprehensive coding skills in Python, or other common programming languages. - Risk modeling, translating probabilistic safety goals into physical metrics, and quantifying system uncertainty (including correlated errors). - Requirements decomposition from high-level safety goals into detailed, verifiable functional and technical requirements for a Level 4 AV system. - Experience in VD simulation (use) and VD tools development (build). Bonus: - Applied and proven experience in building end to end motion planning and control systems systems. - Commercial trucking actuator system and truck dynamics and control. - Applied and proven experience of optimal control systems. - A strong passion for robotics systems and an intuitive understanding of actual electro-mechanical problems in the context of self-driving or robotics. - Coding in Rust and using build and test automation tools.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai You will... Drive Technical Execution: Lead the end-to-end systems engineering lifecycle for the Sensing, Perception, Maps, and Localization domains, ensuring timely delivery of robust solutions across hardware and software teams. Architect Requirements: Create and refine Autonomous Vehicle (AV) Requirements using analytical and numerical methods, focusing on sensing capabilities, perception performance, sensor fusion, mapping, and pose estimation. Own the Contract: Own the definition and requirements development of the Sensing, - - - Perception, and Localization contracts, covering sensor performance, calibration, data quality, and system degradation strategies. Lead Cross-Functional Integration: Act as the primary technical liaison connecting AI and software engineers, hardware engineers, and safety teams to resolve complex system-level bottlenecks and build consensus on architectural trade-offs. Validate via Data: Create methods and use physical and simulated data to inform and verify principled requirements for the entire sensor suite and localization pipeline. Advance Simulation: Improve the simulation and synthetic data generation of sensor models for AVs. Build the Safety Case: Directly contribute to the system safety case by mapping high-level safety goals to deployed architecture, ensuring traceability from requirements through to verification and validation (V&V). Elevate the Team: Mentor junior and mid-level engineers, fostering a culture of rigorous systems engineering, proactive risk management, and flawless execution within the Platform team. Qualifications: Experience: 3+ years of industry experience in autonomous vehicles, robotics, or aerospace, with a proven track record of taking complex autonomous systems from R&D to deployment. Domain Expertise: Strong foundation in AV systems, specifically in sensing (Lidar, Radar, Camera), perception algorithms, sensor fusion, mapping, and localization (e.g., GNSS/INS, SLAM, odometry). Technical Breadth: Deep knowledge of sensor physics, signal processing, data acquisition/management, and dealing with correlated system errors. Systems Rigor: Expert knowledge of Systems Engineering and Verification & Validation (V&V) best practices, including requirements decomposition from high-level safety goals into detailed, verifiable functional and technical specs for Level 4 AV systems. Safety Standards: Working knowledge of functional safety standards (e.g., ISO 26262) and translating probabilistic safety goals into physical, quantifiable metrics. Programming: Comprehensive coding skills in Python, C++, or other common programming languages used for data analysis and systems modeling. Simulation & Modeling: Extensive experience in sensor simulation, error modeling, and perception/localization requirements development. Communication: Exceptional communication and stakeholder management skills, with the ability to distill complex technical risks into actionable decisions for leadership. Bonus: AI/ML Integration: Experience working alongside generative AI architectures or integrating ML-based perception algorithms into deterministic, verifiable safety cases. Advanced Safety: Familiarity with SOTIF (ISO 21448) and handling unknown-unsafe scenarios in autonomous driving. End-to-End Systems: Applied and proven experience in building end-to-end perception or localization systems (e.g., object detection, tracking, scene understanding, HD map integration). Calibration Operations: Experience with sensor calibration and synchronization methods specifically for commercial trucking or heavy machinery. Testing at Scale: Applied and proven experience with defining and executing test cases for perception/localization system performance (e.g., edge cases, challenging weather, GPS-denied environments). Domain Passion: A strong passion for robotics systems and an intuitive understanding of actual electro-mechanical problems in the context of self-driving or robotics. Tooling: Coding in Rust and using build and test automation tools.

The Embedded Software team owns our low-level software integration platform, coordinating communications amongst modules, low level control algorithms and safety assurance processes. Most of the work the Embedded team does requires access to the actual hardware, whether it be boards or vehicles. The intent of this position is to build best in class capabilities around embedded software development. You will… Implement low-level, safety critical embedded software for truck control functions such as engine control, steering and braking. Integrate sensors and vehicle actuation feedback with our localization and control systems in order to implement redundant safety features. Collaborate with our hardware, safety and systems teams on design, build and validation of highly reliable next generation systems. Develop software according to industry-best practices for safe, reliable and robust code. Support the bring up and operation of the autonomous platform, both remotely and on-site. Work with our other software and autonomy engineers on implementing the low-level functions necessary to drive success in the autonomous vehicle field. Qualifications: An experienced (5+ years) developer who codes embedded software on low level ARM microcontrollers and processors (sometimes with an RTOS) with one hand while wielding an oscilloscope probe with the other. A developer who cares about building beautiful (but pragmatic) reusable embedded code and the systems to test and maintain that code. A technical leader who enjoys mentoring junior developers and engineers and collaborating across teamsSomeone who has deep experience with any of C/C++/Rust (we primarily use Rust). Experienced working on safety-critical, hi-reliability software projects following relevant industry safety standards. Requirements: This position is an onsite/hybrid position that will require onsite 3-5 days per week. This position will be hands-on partnering closely with our Compute, Hardware, and Sensor teams.