Jobs at Kodiak Robotics

Lead and mentor a team of embedded engineers developing safety-critical firmware for autonomous trucks. Own real-time firmware architecture and delivery on an RTOS, guide ISO 26262 compliance, support PCBA bring-up and debugging, and maintain production end-of-line test software and fixtures. Remain hands-on through architecture, code reviews, debugging, and implementation.

Designs and implements onboard vehicle systems integrating autonomy hardware, embedded devices, AI, and vehicle platforms. Responsibilities include testing vehicle actuation systems, developing real-time operating system components and C++ infrastructure, building reliable compute and network systems, deploying autonomous trucks, and analyzing system performance. Requires 5+ years of software development connected to hardware, modern C++, CAN protocols, and Linux debugging. Experience with control systems, Bazel, bare-metal or RTOS platforms, and ISO 26262 is preferred.

Design and improve behavior and motion planning systems for autonomous vehicles. Own planning features from problem definition through deployment, using logs, simulation, metrics, and real-world data to debug and validate autonomy behavior. Develop production-quality C++ software, define safety and performance metrics, participate in technical reviews, and collaborate across prediction, controls, perception, machine learning, simulation, systems, and safety teams. Mentor engineers and provide system-level judgment on deployment readiness.

Owns end-to-end multi-state payroll operations for salaried and hourly employees, including regular and off-cycle runs, equity-related transactions, tax filings, and year-end reporting. Manages payroll accounting, journal entries, accruals, reconciliations, month-end close, internal controls, SOX compliance, and audits. Partners with Accounting, Finance, People Operations, and Stock Administration to resolve issues, improve processes, and ensure accurate, compliant payroll and financial reporting.

Manage technical execution roadmaps, hardware platform development, integration, manufacturing scale-up, schedules, milestones, resources, risks, and cross-functional dependencies. Partner with hardware, software, systems, and operations teams to deliver autonomous vehicle programs on time and safely. Communicate priorities and tradeoffs, resolve blockers, improve manufacturing productivity, and maintain technical understanding of autonomous vehicle platforms, hardware lifecycles, safety processes, and testing operations.

Leads electromechanical manufacturing engineering for autonomous vehicle systems, including DFM, supplier coordination, documentation, production-line design, troubleshooting, root-cause analysis, yield improvement, testing, fixtures, and automation. The role requires taking complex systems from design through scaled production, coordinating cross-functional teams, improving manufacturing processes, and communicating program progress and risks to leadership.

Lead technical strategy and architecture for autonomous navigation, localization, mapping, and pose-estimation systems. Develop sensor-fusion and visual/lidar odometry algorithms using camera, lidar, IMU, GNSS, and wheel-speed data. Define navigation metrics, evaluate sensor performance and calibration, resolve complex localization issues, mentor engineers, and build reliable production software for autonomous vehicles.

Develop analyses and recommendations for ambiguous product and operational problems; design scalable processes; manage feedback between field operations, Product, and Engineering; support feature testing, validation, and deployment; define KPIs and monitor field performance; communicate risks and progress to leadership; and improve operational workflows for autonomous vehicle technology.

Develops and maintains production manufacturing test software for autonomous vehicle components and systems. Automates configuration, verification, and testing; improves test coverage and capacity; transitions prototypes into reliable production platforms; integrates tests with MES, PLM, databases, and traceability systems; enhances operator interfaces; and collaborates across manufacturing, quality, embedded, IT, and cybersecurity teams.

Lead technical strategy and development for autonomous vehicle localization, navigation, sensor fusion, pose estimation, visual and lidar odometry, and calibration systems. Build high-reliability C++ software, define evaluation metrics, optimize sensor performance, resolve complex localization issues, and mentor engineers while setting technical direction across the organization.

Develop and maintain 2D and 3D visualization tools for autonomous vehicle development and testing. Build ReactJS, TypeScript, and Three.js interfaces that convert robotics sensor data into engineering insights. Create backend services and APIs, improve performance and scalability, collaborate with engineering, quality, and operations teams, and deploy production tooling with minimal disruption. The role also involves working with time-series robotics data, profiling applications, documenting systems, and supporting autonomous trucking infrastructure.

Leads system-level integration of autonomous vehicle sensors, computing, actuation, and vehicle systems from architecture through deployment. Develops test plans, coordinates cross-functional build events, provides design-for-manufacturing and design-for-test feedback, maintains technical documentation, troubleshoots integration issues, and defines requirements and acceptance criteria with systems and hardware teams.

The Functional Safety Software Engineer will develop technical safety requirements, lead software safety specification, and perform analyses to comply with ISO 26262, focusing on autonomous vehicles.

Build and maintain scalable data stores and reliable data pipelines for robotics and safety datasets. Optimize AuroraDB and Elasticsearch performance, support data ingestion and cleanliness, and develop QuickSight or other dashboarding solutions for organizational reporting. The intern will collaborate on dependable data platforms, use modern software development workflows, and may contribute to cloud database infrastructure, automated data integration, and infrastructure-as-code projects.

The Senior IT Systems Engineer at Kodiak Robotics will oversee support for users, automate IT processes, and manage network infrastructure, collaborating on various IT projects.

Lead and scale end-to-end supply chain for an autonomous trucking hardware company. Own planning, procurement, inventory, contract manufacturing, warehouse/logistics, financial controls (CIP/accounting), compliance, and cross-functional partnerships. Build team, processes, and systems (SAP/MRP, S&OP) to move from low-volume to high-volume production while driving cost reduction, audit readiness, and real-time material visibility.

The engineer will derive requirements for safe driving in self-driving vehicles, collaborate on algorithms, and support testing and system design for autonomy.

Lead product strategy for Kodiak's Level 4 autonomous trucking hardware stack (sensors, compute, vehicle integration). Define multi-year roadmaps, drive architecture-level trade-offs, align cross-functional teams, own end-to-end product lifecycle and deployments, mentor PMs, and communicate progress to executives and customers. Travel to deployment and partner sites ~10–25%.

Design, validate, and debug medium-to-high complexity PCBA and electrical subsystems for autonomous vehicles. Lead DFMEA, ISO 26262/ASIL compliance, thermal and power validation, root-cause analysis, and cross-functional integration from schematic through product release.

Design, implement, and own behavior and motion planning features for autonomous trucks end-to-end. Debug using logs, simulation, and real-world data, define validation metrics, participate in design and code reviews, and mentor engineers while collaborating across the autonomy stack.