Top Tech Jobs & Startup Jobs

Leads triage, containment, root-cause analysis, and permanent corrective actions for electrical-system issues identified during autonomous vehicle assembly and end-of-line testing. Partners with engineering, manufacturing, quality, suppliers, and operations to improve build readiness, manufacturability, production efficiency, and fleet reliability. Supports prototype builds, production trials, engineering changes, issue tracking, dashboards, and cross-functional resolution execution.

Lead policy, safety, and reputation communications for Zoox as it scales autonomous robotaxis toward commercial service. Develop proactive campaigns, manage media and reactive issues, translate regulatory developments into communications strategies, and advise senior stakeholders on sensitive matters. Partner with policy, safety, legal, product, and public affairs teams to build trust with regulators, communities, media, and the public.

Analyzes and diagnoses autonomous vehicle system faults across perception, planning, and AI software using on-road and simulation data. The role triages and prioritizes safety issues, performs root-cause analysis, identifies failure trends, develops tooling and workflows, and produces reports that guide engineering and leadership decisions on vehicle quality, safety, and robustness.

Own and scale Zoox’s continuous integration platform, improving build performance, reliability, cost efficiency, failure analysis, and developer support. The role involves operating distributed CI at scale, optimizing monorepo integration, applying AI tools to incident response, enabling engineering teams, establishing technical standards, and mentoring engineers.

Owns hardware-level functional safety and system-level sensor safety for cameras, LiDAR, and radar. Responsibilities include reviewing supplier documentation for SEooC and AoU alignment, validating ASIL compliance, executing board-level FMEDA for FPGAs and microcontrollers, defining diagnostic monitoring requirements, and supporting SOTIF simulation and physical testing for perception edge cases. Requires an engineering degree, at least three years of hardware experience, and knowledge of ISO 26262 and SOTIF.

Lead the Middleware Transport team responsible for in-vehicle messaging, networking, serialization abstractions, and vehicle-to-cloud connectivity. Own the roadmap, staffing, architecture, and release commitments while developing engineers and managing performance and hiring. Partner cross-functionally with firmware, security, simulation, manufacturing, fleet operations, and infrastructure teams. Balance reliability incidents with long-term platform architecture and establish technical standards for transport systems.

Lead end-to-end development and deployment of enterprise generative AI and LLM applications, including agentic workflows, MCP-based data integrations, secure tool usage, AI gateways, identity propagation, access controls, and observability. The role partners with Information Security and corporate functions to deliver governed AI automation across procurement, supply chain, legal, finance, HR, and manufacturing.

The Software Engineer will enhance large-scale simulation pipelines for validating autonomous vehicle behavior, focusing on cost efficiency, reliability, and performance improvements.

Design, improve, and operate large-scale GPU- and data-intensive simulation and ML training pipelines (Ray/Kubernetes/AWS). Build production APIs, SDKs, and tools, and optimize cost, reliability, and performance to validate autonomous-vehicle behavior.

Develops traceable compute and controls requirements for autonomous vehicle platforms, leads compute safety analyses including FMEDA and FMEA, drives architecture tradeoffs, and coordinates verification, validation, diagnostics, and functional safety activities. The role collaborates across hardware, software, firmware, manufacturing, safety, and test teams to qualify systems, investigate failures, and ensure compliance with ISO 26262 and ISO 21448.