# Staff Software Engineer, AI Developer Productivity, Autonomy Source: https://realanalystjobs.com/job/staff-software-engineer-ai-developer-productivity-autonomy-rivian-bb7af360 Staff Software Engineer, AI Developer Productivity, Autonomy at Rivian, an on-site role based in Palo Alto, California, USA. Experience level: 6+ Years. Posted on 8 September 2026, read from Rivian's own careers page (Jibe), which RealAnalystJobs re-checks daily and removes the role when it closes. Rivian has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role). Updated 15 November 2026. ## Key facts - Company: [Rivian](https://realanalystjobs.com/companies/rivian) - Location: Palo Alto, California, USA - Work mode: On-site - Posted: Sep 8, 2026 - Employment type: Full time - Experience level: 6+ Years - Source: Rivian's careers page (Jibe), re-checked daily Skills: [Python](https://realanalystjobs.com/skills/python), AWS ## Visa sponsorship The posting does not say. Rivian had H-1B petitions approved for 493 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/rivian#h1b-record) ## About this role About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Rivian Autonomy is building an Applied General AI team to make AI a dependable part of how hundreds of engineers develop, test, and ship software. We are seeking a Staff Software Engineer to own and evolve the agent platform behind that effort, spanning code generation and review, debugging, CI triage, operational support, and knowledge retrieval across our cloud, data, simulation, and vehicle-software ecosystem. Autonomy operates one of Rivian’s largest engineering data platforms, including petabyte-scale sensor data and ML training pipelines. This creates an unusually rich environment for agent systems: complex real-world workflows, valuable telemetry signals, and outcomes that can be objectively tested. You will pair a production-grade agent platform with a rigorous evaluation loop so that every expansion of agent autonomy is supported by measured results on real Rivian work, not demos or anecdotes. Success means reducing the quality-adjusted effort required to complete important workflows while maintaining explicit security, reliability, software-quality, and developer-experience guardrails. As an early member of the team, you will help define its technical direction, operating model, and future hiring. You will build on an existing in-house multi-agent system with real users and partners across all of Rivian Autonomy and beyond. Responsibilities Agent platform Architect and build the core runtime for autonomous agents operating on Rivian systems, including orchestration, isolated execution, tool and skill frameworks, durable state and context management, model routing, policy enforcement, and end-to-end tracing. Establish an execution and permission model with isolated workspaces, short-lived task-scoped credentials, human-in-the-loop approval gates, network and data-access controls, and complete audit trails. Deliver capabilities across the engineering lifecycle, including code generation and review, debugging, test and CI failure attribution, documentation and knowledge retrieval, and operational triage, integrated with Slack, GitLab, Kubernetes, AWS, Databricks, and adjacent systems. Own the reliability of the platform and the lifecycle of long-running agent work, including recovery, cancellation, resource controls, and human escalation. Evaluation and continuous improvement Instrument agent workflows to capture traces, tests, diffs, review dispositions, task outcomes, and what engineers keep, modify, or reject. Build evaluation sets from representative Rivian engineering tasks and calibrate model-based grading against human judgment. Define repeatable, per-workflow success metrics; quantify run-to-run variance; and automatically detect regressions as models, prompts, context, and tools evolve. Design controlled rollouts that measure changes in engineering effort, cycle time, rework, quality, reliability, and developer experience. Measurements will evaluate tools and workflows, not individual engineer performance. Drive improvement through systematic experiments over prompts, context construction, tools, models, and inference budgets. Use the results to determine where agents earn greater autonomy and where they should be constrained. Technical strategy and adoption Define the technical strategy and roadmap for AI developer productivity across Autonomy, including build-versus-buy decisions, platform boundaries, security standards, and prioritization of the workflows with the greatest measurable impact. Work directly with engineers to identify high-friction workflows and understand where agents fail in practice. Turn those findings into improvements to context, tools, skills, interfaces, documentation, and enablement. Track credible advances in LLMs and agent systems and validate promising techniques on Rivian tasks before adopting them. Guide model tiers, reasoning depth, sampling, and verification strategies within explicit latency, reliability, and spend budgets. Lead architecture across organizational boundaries, communicate recommendations to engineering leadership, and mentor engineers building on the platform. Qualifications 6+ years of software engineering experience or equivalent demonstrated experience and impact, including substantial backend or distributed-systems work across cloud infrastructure, service design, storage, queuing, or secure execution. Staff-level technical leadership: you identify the problems worth solving, shape strategy across teams, make pragmatic tradeoffs, and drive ambiguous initiatives from evidence to production. Hands-on experience building and operating LLM applications, agent systems, or closely related developer infrastructure beyond prototypes, including tool use, orchestration, retrieval, context management, and production failure modes. Demonstrated rigor in evaluating ML, LLM, or other nondeterministic systems. You have designed metrics or experiments for a real product, understand statistical variance, and can defend or challenge whether a measured improvement is real. Strong understanding of the cost, latency, quality, and reliability tradeoffs that drive agent-system design. Strong programming skills in Python and experience with at least one additional relevant language such as Go, Rust, C++, or TypeScript. Strong communication and developer empathy, with a track record of building platforms or tools that engineers adopt and trust. Self-directed in ambiguous problem spaces and comfortable defining scope wh Description from Rivian's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/staff-software-engineer-ai-developer-productivity-autonomy-rivian-bb7af360) and use Apply now there to reach the employer's application. The listing is re-checked against Rivian's careers page daily and removed when it closes. ## Rivian 4 open analyst roles on Real Analyst Jobs. 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