Triage Engineer Jobs in California (NOW HIRING)

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. 

The Autonomy Triage team is responsible for the triage infrastructure and workflows that close
the loop between what drivers experience on the road and how our autonomy stack evolves. As
a Sr Staff Triage Engineer, you'll own the architecture of the systems and methodology that
turns unlabeled miles into actionable signals; defining how we detect, classify, and root-cause
undesired behavior at scale.

This is a technically deep, high-ownership role at the intersection of data engineering, ML
systems, and autonomy validation. You'll work directly with perception, planning, systems, and
safety teams to ensure the right events surface from hundreds of millions of miles of customer
and simulation data; and that the signatures we build today will be relevant and applicable as
our system scales across both consumer features and L4 robotaxi.

Define and lead the strategy and execution for L4 autonomy triage at scale
Define and own the end-to-end triage pipeline: from event detection through feature
metric parity analysis, classification, and root cause analysis
Enhance the ground truth infrastructure that ties driver-reported symptoms to event
signatures, enabling precision and recall measurement of our feature metrics
Drive the methodology for evaluating metric parity between on-road and simulation
environments
Ensure on-road signatures and sim metrics are in sync and representative of real world
scenarios, and that gaps are continuously closed through focused feedback cycles
Establish coverage benchmarks and drive the roadmap for expanding triage coverage
across new scenarios, geographies, and ODD boundaries

Graduate degree in engineering, preferably in CS, electrical or mechanical engineering

10+ years of engineering experience, with at least 5 years developing autonomous
vehicle systems, preferably Level 4 systems.
Deep familiarity with the full AV development loop, autonomy systems, sensor
modalities, and end-to-end triage process; data collection, labeling pipelines, metric
frameworks, simulation, and safety validation
Hands-on experience designing or owning triage, disengagement analysis, or event
detection systems at scale
Strong problem solving skills in a highly cross functional and fast paced environment
Strong data engineering fundamentals: large-scale data pipelines, feature extraction,
and event querying across structured and unstructured driving data
Experience with ML model development or deployment — particularly classification or
anomaly detection in time-series or sensor data
Proficiency with Python and SQL; experience working with LLMs or prompt-based
pipelines is a strong plus

The salary range for this role is $265,000 - $331,300 for San Francisco Bay Area based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs.

We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian’s 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com. 

Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.

Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. 

Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services. 

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How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Rivian uses iCIMS Talent Cloud Artificial Intelligence (TCAI) and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role.

Participation in AI profile matching is entirely voluntary. If you prefer that your profile not be used in this process, you can opt out at any time. Opting out means your profile will be excluded from automated matching and will not be surfaced for additional roles through this system. Your current application remains active and will not be affected in any way.

Please note that we are currently not accepting applications from third party application services.

Graduate degree in engineering, preferably in CS, electrical or mechanical engineering

10+ years of engineering experience, with at least 5 years developing autonomous
vehicle systems, preferably Level 4 systems.
Deep familiarity with the full AV development loop, autonomy systems, sensor
modalities, and end-to-end triage process; data collection, labeling pipelines, metric
frameworks, simulation, and safety validation
Hands-on experience designing or owning triage, disengagement analysis, or event
detection systems at scale
Strong problem solving skills in a highly cross functional and fast paced environment
Strong data engineering fundamentals: large-scale data pipelines, feature extraction,
and event querying across structured and unstructured driving data
Experience with ML model development or deployment — particularly classification or
anomaly detection in time-series or sensor data
Proficiency with Python and SQL; experience working with LLMs or prompt-based
pipelines is a strong plus