Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Define and evolve Aurora’s autonomous-vehicle runtime framework across on-vehicle and cloud execution. Design high-performance, low-latency IPC and RPC, manage configuration and process lifecycles, improve deterministic simulation and log replay, and build fault monitoring and recovery capabilities. The role also involves creating intuitive C++ APIs, supporting field testing, mentoring engineers, setting coding standards, and driving the framework roadmap.

Lead system security engineering for autonomous vehicle platforms, defining security requirements, interfaces, threat models, risk analyses, trade studies, and verification plans. Integrate hardware security, secure boot, cryptography, key management, and secure communications across vehicle compute, sensors, networks, and cloud telemetry. Partner with hardware, embedded software, safety, validation, suppliers, and Tier-1 organizations to align cybersecurity with functional safety and regulatory requirements.

Lead full-cycle recruiting for high-impact Physical AI roles across autonomy, machine learning, perception, simulation, AI infrastructure, controls, and hardware engineering. Advise senior engineering leaders on talent strategy, market intelligence, search design, engagement, and closing. Build relationships with AI, robotics, and academic talent communities; use data and AI-enabled recruiting tools to improve hiring; establish strategy for the Physical AI market; and mentor recruiters and sourcers.

Own end-to-end executive searches for Director-level and above roles, advising executives on organization design, role scope, market intelligence, compensation, and hiring strategy. Partner with People, Finance, and Talent Acquisition leaders on succession planning and workforce planning. Structure executive offers, lead confidential searches, mentor recruiters and sourcers, and improve recruiting practices through training and shared market insights.

Own Aurora’s end-to-end software release strategy, readiness governance, rollout, Go/No-Go decisions, defect escalation, backlog hygiene, and release metrics. Align Engineering, Product, and Commercial Operations roadmaps with operational readiness across software, hardware, and autonomous systems. Establish scalable release processes, manage cross-functional dependencies, and translate technical data into executive recommendations while supporting commercial fleet growth.

Design and own geometric map-generation algorithms that process large-scale lidar datasets into automated 3D maps for autonomous vehicles. Responsibilities include sensor optimization, pose-graph optimization, multimodal alignment, pipeline scalability, failure-mode analysis, algorithmic debugging, data-quality improvement, and integration with neighboring teams. The role requires strong C++ development, 3D geometry, point-cloud processing, linear algebra, numerical optimization, and probability expertise.

Design and own geometric map-generation algorithms processing large-scale lidar data into automated 3D maps. Improve distributed map-building pipeline runtime, scalability, and data quality; diagnose failure modes and deliver measurable algorithmic fixes. Collaborate on data contracts and integrations while applying geometric optimization, spatial transforms, point-cloud processing, and mapping techniques for autonomous vehicles.

Design and develop security frameworks for Aurora’s autonomous vehicle platform and cloud services. Lead vehicle security implementation, architecture reviews, threat modeling, code reviews, security releases, and integration with partner teams and OEMs. Write production-quality C++ and Golang, mentor engineers, translate requirements into products, and apply cryptographic, infrastructure, network, embedded, and hardware security practices.

Owns software readiness for Aurora’s expanding autonomous trucking network across lanes, endpoints, weigh stations, and truck stops. The role synthesizes cross-functional engineering status, leads executive reporting and escalation, aligns autonomy capabilities with commercial priorities, coordinates testing and mapping dependencies, forecasts vehicle demand, and builds scalable tracking processes and tooling.

Drive company-wide budgeting, quarterly reforecasts, long-range three-statement planning, variance analysis, and financial reporting. Partner with executives on Opex, Capex, headcount, KPIs, capital allocation, and Board materials. Improve FP&A governance, systems, automation, and data integrity while presenting financial insights to leadership and managing strategic finance projects across the organization.