Top Tech Jobs & Startup Jobs

Own strategic relationships with existing cloud, compute, semiconductor, Tier 1 supplier, and OEM partners. Serve as the senior escalation point, lead commercial negotiations and renewals, coordinate cross-functional follow-through, track commitments, assess relationship value, and prepare executive-ready recommendations. The role partners with leadership, business development, legal, engineering, finance, and supply chain teams to maintain and expand critical technology partnerships.

Manage Workday production support and configuration, test and implement releases, build executive KPI reports and dashboards, perform data audits and integrations troubleshooting, and streamline People Operations through automation and AI-assisted workflows. Provide backup for core HR workflows and partner with stakeholders on analytics.

Collaborate to develop generative models for autonomous driving, focusing on plan generation and optimizing models through reinforcement learning.

Design and execute simulation and on-road tests to evaluate collision avoidance and detection. Develop validation strategies, metrics, and evaluation tooling, quantify residual risk, author test and risk reports, and communicate findings to engineering and safety leadership to improve autonomy and test realism.

Lead company-level product strategy and roadmap for Nuro Driver and commercialization products. Translate customer and partner needs into technical requirements, partner across engineering and operations, shape commercialization and deployment plans, represent product externally, and build product discipline and teams to enable scalable autonomous vehicle deployments.

The Director of Engineering for Eval Platform will lead the simulation and evaluation efforts, ensuring safety and performance validation for autonomy systems. Responsibilities include defining the technical vision, mentoring teams, and communicating with leadership regarding progress and risks.

Develop and optimize generative models for autonomous planning using reinforcement learning and collaboration across teams. Requires strong programming skills and research experience in generative models.

Lead architecture and implementation of scalable ML data pipelines and tooling to turn autonomy data into training datasets. Build data selection, active learning, inference-at-scale, vector DB management, labeling integration, QC automation, and introspection tools while partnering with ML researchers and infra teams.

Lead design and implementation of automated V&V pipelines for autonomy behavior. Standardize triage workflows, run root-cause analyses, identify testing gaps, and collaborate with Simulation, Data Platform, and Infra teams to deliver scalable validation tooling and evidence for the Autonomy Safety Case.

Lead and grow the mechanical design team responsible for AV hardware including electronics and sensor packaging, vehicle integrations, and weather mitigation. Own product lifecycle from prototype through production, drive cross-functional collaboration, ensure program milestone delivery, mentor engineers and managers, and resolve critical technical and program issues.