Top Tech Jobs & Startup Jobs

Lead hardware safety architecture, reliability engineering, and functional safety compliance for autonomous vehicle compute, sensors, power distribution, and networking systems. Conduct FMEDA, PMHF, SPFM, FTA, fault injection, and worst-case circuit analyses; define safety requirements; evaluate automotive-grade components and vendors; and produce safety manuals, verification documentation, and safety-case evidence. The role is onsite in Santa Clara five days per week.

Build and maintain hardware-in-the-loop test benches for autonomous vehicle electronics, including ECUs, sensors, production compute units, and drive-by-wire systems. Develop sensor simulation and hardware fault-injection suites, automate Python and C++ regression testing in CI/CD pipelines, and perform ISO 26262 requirements-based verification. Investigate hardware-software interface defects, communication anomalies, and bus timing issues with engineering teams.

Own the safety architecture and integration of drive-by-wire systems for autonomous trucks, including redundant steering, braking, propulsion, and chassis actuation. Define fault reactions, degraded modes, minimum risk maneuvers, and safety requirements. Conduct HARA, FMEA, and FTA analyses; integrate OEM and supplier systems; ensure ISO 26262 ASIL D compliance; and support on-vehicle fault-injection validation under demanding operating conditions.

Lead onsite closed-course verification and validation testing for autonomous commercial trucks. Plan and execute proving-ground programs, operate robotic soft targets, validate safety-critical maneuvers, analyze vehicle dynamics and autonomy telemetry using Python and MATLAB, track issues, and enforce site safety protocols. The role requires extensive vehicle-level testing experience, automotive data acquisition expertise, and strong safety and risk-mitigation practices.

Leads technical training infrastructure across autonomous vehicle operational sites. Develops standardized curricula, translates engineering materials and SOPs into training, ensures safety and procedural compliance, audits trainers, tracks competencies, maintains training records, and manages retraining and recertification. The role supports testing, deployment, and engineering teams while standardizing training across multiple locations and requires frequent travel.

Lead systems and safety engineering for a Level 4 autonomous vehicle platform. Own safety architecture, safety cases, risk management, AI/ML safety, requirements, verification, regulatory engagement, supplier interfaces, customer safety programs, and operational governance. Build and manage a multidisciplinary engineering team while coordinating with internal teams, OEMs, Tier 1 suppliers, regulators, auditors, and commercial customers.

Lead enterprise-wide product lifecycle and configuration management across hardware, software, and field operations. Build scalable change-control processes, oversee traceability and release management, integrate PLM, ERP, and QMS systems, and coordinate Change Control Board activities. Ensure product baselines, software and hardware dependencies, safety validations, compliance records, and operational procedures remain accurate and audit-ready across the organization.

Leads network design and optimization for autonomous freight operations. Analyzes customer and network data, develops routing and scheduling solutions, supports B2B sales proposals, and delivers strategic recommendations to leadership. Drives scalable tools and processes, manages cross-functional projects, translates business requirements for technical teams, and researches market and industry trends. The role requires strong quantitative problem-solving, communication, and stakeholder management skills in a fast-paced autonomous logistics environment.

Develop, optimize, and deploy production machine learning models for autonomous vehicle perception, prediction, planning, and scene understanding. Own the full ML lifecycle, build scalable training and data pipelines, optimize neural networks with quantization and TensorRT, and integrate models into C++ vehicle systems. Analyze simulation and real-world driving data, improve reliability and latency, and collaborate with autonomy, hardware, systems, and infrastructure teams.

Own the functional safety lifecycle and system safety concepts for a Level 4 autonomous driving platform. Lead hazard analysis, STPA, FMEA, fault tree analysis, requirements traceability, safety metrics, and minimum-risk maneuver architecture. Define fail-operational and fail-safe strategies across perception, localization, mapping, planning, controls, and fault management. Collaborate with software, middleware, infrastructure, and systems teams to support safe autonomous releases.