Top Tech Jobs & Startup Jobs

Designs, maintains, and facilitates operational training programs for autonomous trucking operations. Develops LMS content covering workflows, technical systems, safety protocols, and SOPs; delivers onboarding and continuous development; assesses trainee proficiency; collaborates with operational leaders and subject matter experts; and uses feedback and performance data to improve training effectiveness.

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.

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.

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.

Leads hardware technical program management across sensor, compute, electrical/mechanical integration, and vehicle platforms. Owns roadmaps, schedules, risks, design and gate reviews, change management, executive reporting, and fleet deployment. Manages and develops three TPMs while partnering with engineering, manufacturing, supply chain, operations, and safety teams. Establishes organization-wide hardware program processes, tooling, metrics, and prioritization practices, supporting complex autonomous vehicle hardware programs from concept through validation and production.

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.