Jobs at Kodiak Robotics

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.

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.

Support development and production operations by coordinating driver schedules, tracking and documenting runs, updating the Truck Management System, creating SOPs, troubleshooting AV systems, and reporting operational issues.

Design and develop large-scale multimodal transformer models that fuse camera, LiDAR, and radar. Research cross-modal attention and token-fusion strategies, build scalable distributed training pipelines, explore self-supervised/contrastive pretraining, and optimize models for real-time, low-latency inference.

Manage month-end, quarterly, and annual close processes under U.S. GAAP; improve reconciliations and audit readiness; oversee balance sheet reconciliations and PBC coordination; mentor and grow an accounting team; support manufacturing cost accounting and ERP-related activities.

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.

Design and implement low-level embedded software for x86/ARM platforms in C/C++; collaborate with hardware and software teams to spec, test, and debug vehicle subsystems and sensors (camera, radar, lidar, IMU); work on network devices and time synchronization; perform hands-on hardware bring-up and on-vehicle debugging of buses like I2C, CAN, SPI, UART; ensure reliability and safety for autonomous trucking systems.

Build tools, libraries, and infrastructure to accelerate Planning development for autonomous vehicles. Improve testing, debugging, metrics, simulation, and evaluation workflows; expose actionable insights from logs and real-world data. Lead infrastructure projects, optimize performance and maintainability, and partner with Planning engineers to increase engineering velocity and safety-case/test coverage.

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.

As a Senior Software Engineer, you will design algorithms for motion planning, improve AI behavior predictions, and enhance planning tools while collaborating across teams.

Manage and develop social media strategies, create content, engage with communities, collaborate cross-functionally, and analyze social media performance.

The Hardware Quality Industrialization Engineer will enhance quality processes, manage suppliers, analyze returns, and implement corrective actions in a growing manufacturing team.

Lead integration of learned models into the autonomous behavior planning stack. Collaborate with ML and autonomy teams to design, validate, monitor, and deploy learned planning components while ensuring safety, fallback strategies, debuggability, and production readiness. Mentor engineers and drive cross-functional technical designs using simulation, logs, and real-world data.

The Systems Engineer will design and execute Kodiak's Autonomy Fault Management System, addressing faults safely to enhance driverless vehicle deployment and performance.

Lead improvements to behavior and trajectory prediction for autonomous vehicles. Own prediction work within Planning, collaborate with ML, Perception, Simulation, and Systems teams, refine prediction-planning interfaces, define metrics and evaluation frameworks, analyze failures via logs/simulation, and lead technical projects while mentoring junior engineers.

Lead the design and execution of the Autonomy Fault Management System, ensuring safe operation through all stages of development while collaborating with cross-functional teams.

Own and scale the IT helpdesk: build ITSM workflows, implement ticketing and asset tools, provide hands-on hardware/software/AV support, manage IAM and onboarding/offboarding, create knowledge base and automation, hire and mentor a 2-3 person support team.

Lead development of learned scene estimation and multi-sensor fusion for autonomous perception. Improve multi-target tracking, measurement association, and robust state estimation. Build algorithms to handle noisy measurements, create tooling/metrics/visualizations, and deliver high-reliability deployed software while collaborating across teams.

Design, test, and optimize perception sensor systems (lidar, radar, camera, ultrasonics) for autonomous trucks. Integrate sensors, analyze on-road data, run field tests, define field-of-view requirements, manage suppliers and contract manufacturers, and collaborate with perception teams to debug and improve sensor performance.