Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co.

We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions

About the role

We’re looking for a Systems Engineer with strong robotics and software skills to join the team building Applied Intuition’s autonomous trucking system. You’ll own requirements, architecture and verification for parts of the system, from what the customer needs down to the pass/fail checks that run in simulation and on the vehicle. You’ll work closely with software, hardware, safety and test engineers, and with OEM partners, to take an L4 product into production.

At Applied Intuition, you will

Turn customer, operational and regulatory needs into system, subsystem and component requirements, and keep them in Polarion as the single source of truth

Define subsystems: their functions, inputs and outputs, interfaces and P-diagrams. Get them reviewed and approved by software and hardware leads

Help write the system architecture as code (SysML v2) through a PR-based workflow, with clear owners for each component. Keep Cameo models in sync where certification and customer deliverables require them

Write diagnostic and fault-management requirements, covering fault detection thresholds, fault-tolerant time intervals (FTTI), degradation strategy and minimal-risk maneuvers

Run safety analyses such as STPA. Turn unsafe control actions into requirements, test cases and safety performance indicators

Own the pass/fail criteria (observers and metrics) that turn requirements into machine-readable checks for simulation and in-vehicle testing. Make sure they are precise enough to trust

Keep traceability end to end, from capability to requirement, test case, scenario, observer and result. When something escapes testing, find which layer missed it and close the gap

Produce ASPICE work products and evidence (SYS.1–SYS.5, plus support for SWE.1/5/6) and get the team ready for assessments

Represent systems engineering to OEM partners and regulators, including requirement reviews, validation plans and homologation deliverables

Use and build AI-assisted tools (LLM agents, MCP integrations, scripts) to automate traceability, triage and requirement authoring

We’re looking for someone who has

2+ years of systems engineering experience covering requirements, functional decomposition and allocation, interface definition, and verification and validation

Experience with robotics, autonomous vehicles or ADAS software systems

Hands-on experience with a requirements tool (Polarion, DOORS, Jama) and with MBSE / SysML (Cameo or SysML v2)

Comfort working in a codebase: Git, pull requests, Python, YAML

Experience with at least one safety analysis method (STPA, FMEA, FTA, HARA)

Clear written communication, and the ability to drive alignment across engineering teams and with external customers