Jobs in the United States

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Added 6 mins ago
Member of Product Staff
Meta
Richmond, VA
Use AI-enabled tools to build products - setting the standard for product technical capability.
Added 6 mins ago
Product Security Engineer - Team Lead
Meta
Richmond, VA
Experience in designing, analyzing, improving efficiency, scalability, and stability distributed systems and conducting threat model assessment of infrastructure software and services
Added 6 mins ago
Cloud Engineer - TS/SCI with Polygraph
General Dynamics Information Technology
Herndon, VA
GDIT is seeking a skilled and experienced Cloud Engineer with expertise in DevOps Automation (Terraform, Ansible, CloudFormation), Cloud Administration, and Cloud AI Services. As a Cloud…
Added 6 mins ago
Cloud Infrastructure Engineer
General Dynamics Information Technology
Fairfax, VA
GDIT is looking for a Cloud Infrastructure Engineer to join our National Institutes of Health (NIH) CIT Hosting and Storage Services Program.
Added 6 mins ago
Observability Pipeline Engineer
BOOZ, ALLEN & HAMILTON, INC.
McLean, VA
Are you looking for an opportunity to combine deep technical skill with big picture thinking to make an impact on the systems people depend on every day? You understand that observability…
Added 6 mins ago
Zero Trust C2C Engineer
BOOZ, ALLEN & HAMILTON, INC.
Arlington, VA
As a systems engineer on our team, you have the chance to design a varied set of cybersecurity solutions in support of defending our nation's critical infrastructure and federal assets.…
Added 9 mins ago
Staff Software engineer - Storage
Snowflake
Bellevue, WA
We are seeking an outstanding Staff Software Engineer with a passion for large scale databases and distributed systems to help drive our continued growth. In this role, you'll connect…
Added 9 mins ago
Staff Software Engineer - Compiler & Spark Runtime
Snowflake
Menlo Park, CA · Bellevue, WA
We are seeking an experienced, hands-on engineer who combines deep technical expertise with the ability to lead complex engineering initiatives and influence technical direction. You will…
Added 20 mins ago
Senior Software Engineer, Autonomy Evaluation & Metrics Platform
Rivian
Palo Alto, CA
Rivian’s Autonomy Eval Infrastructure team builds the software that helps engineers understand
Added 21 mins ago
EG
Automated Test Engineer
Eliassen Group
Salem, OR
- $40 to $50 USD / hour
Our client seeks an Automated Test Engineer to support Hivemind by monitoring and maintaining large volumes of automated tests, troubleshooting failures, and driving bug resolution across…
Added 42 mins ago
Senior Platform Engineer, Cloud (Xora Portfolio Company)
Xora Innovation
Remote, United States
This role builds what the rest of Elemynt’s engineering runs on: the cloud infrastructure, the core platform services, and the observability that keeps the product reliable. The platform…
Added 43 mins ago
S
Staff Software Engineer - Compiler & Spark Runtime
Snowflake
Menlo Park, CA · Bellevue, WA
- $236,000 to $339,200 USD / year
We are seeking an experienced, hands-on engineer who combines deep technical expertise with the ability to lead complex engineering initiatives and influence technical direction. You will…
Added 43 mins ago
EG
Automated Test Engineer
Eliassen Group
Springfield, IL
- $40 to $50 USD / hour
Our client seeks an Automated Test Engineer to support Hivemind by monitoring and maintaining large volumes of automated tests, troubleshooting failures, and driving bug resolution across…
Added 1 hour ago
Senior Data Engineer
Xenon7
Remote, United States
We are seeking a Senior Data Engineer with extensive experience in data architecture and platform engineering to drive data initiatives for a top-tier life sciences client. This role sits…
Added 1 hour ago
Senior Data Engineer
Xenon7
Remote, United States
We are seeking a Senior Data Engineer with extensive experience in data architecture and platform engineering to drive data initiatives for a top-tier life sciences client. This role sits…
Added 1 hour ago
Senior Data Engineer
Xenon7
Remote, United States
We are seeking a Senior Data Engineer with extensive experience in data architecture and platform engineering to drive data initiatives for a top-tier life sciences client. This role sits…
Added 1 hour ago
Senior Data Engineer
Xenon7
Remote, United States
We are seeking a Senior Data Engineer with extensive experience in data architecture and platform engineering to drive data initiatives for a top-tier life sciences client. This role sits…
Added 1 hour ago
Senior Data Engineer
Xenon7
Remote, United States
We are seeking a Senior Data Engineer with extensive experience in data architecture and platform engineering to drive data initiatives for a top-tier life sciences client. This role sits…
Added 1 hour ago
Senior Data Engineer
Xenon7
Remote, United States
We are seeking a Senior Data Engineer with extensive experience in data architecture and platform engineering to drive data initiatives for a top-tier life sciences client. This role sits…
Added 1 hour ago
Senior Machine Learning Engineer
Xenon7
Remote, United States
We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life…
Added 1 hour ago
Senior Machine Learning Engineer
Xenon7
Remote, United States
We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life…
Added 1 hour ago
Senior Machine Learning Engineer
Xenon7
Remote, United States
We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life…
Added 1 hour ago
Senior Machine Learning Engineer
Xenon7
Remote, United States
We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life…
Added 1 hour ago
Senior Machine Learning Engineer
Xenon7
Remote, United States
We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life…
Added 1 hour ago
Senior Machine Learning Engineer
Xenon7
Remote, United States
We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life…

Senior Software Engineer, Autonomy Evaluation & Metrics Platform

Palo Alto, CA, United States

Salary Range for California Based Applicants: $179,000-$223,800 (actual compensation will be determined based on experience, location, and other factors permitted by law).

Apply on careers.rivian.com About employer

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Job details

Pay: Salary Range for California Based Applicants: $179,000-$223,800 (actual compensation will be determined based on experience, location, and other factors permitted by law).
Apply by: Nov 12, 2027
Experience: 5+ years of professional software engineering experience, or equivalent demonstrated
Posting language: English
Posted: Nov 12, 2026

Original job description

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’s Autonomy Eval Infrastructure team builds the software that helps engineers understand and improve the ML models behind our driving systems and gives release teams evidence they can trust. Within Autonomy’s AI Platform organization, we connect model development with evaluation workflows, metrics, triage and visualization across simulation and real-world vehicle data.

As a senior metrics-platform engineer, you will design, build and operate a substantial part of the platform that makes autonomy evaluation consistent and reproducible. Working directly with Perception, Planning and Systems engineers, you will connect model experiments to reliable metrics and help turn insights about model behavior, failure modes and generalization into improvements in models and data. This is a hands-on software engineering role. You will own projects through design, implementation, rollout and operation, make practical system-design trade-offs, and mentor teammates. As an early member of a newly formed team, you will help establish the engineering practices and interfaces that make the platform useful across Autonomy.

Responsibilities

Own the design and delivery of a metrics-platform area, such as the metric registry, computation services or comparison and reporting APIs, in partnership with the team’s technical lead.
Design versioned metric definitions and data models for inputs, aggregation, slicing and results. Preserve provenance linking official evaluation runs to code, model, dataset and scenario versions.
Build distributed computation and storage paths with idempotent execution, incremental processing and controlled backfills. Make informed trade-offs across throughput, latency, cost and reproducibility.
Build comparison tools that expose coverage, sample sizes, uncertainty and changes in evaluation inputs. Help users distinguish model regressions from data, simulator or infrastructure failures.
Partner with model developers to design evaluation experiments, inspect predictions and analyze failure patterns. Use the findings to guide model and data improvements, and build reusable evaluation harnesses that shorten the iteration cycle.
Integrate metrics and regression checks into replay and closed-loop evaluation workflows and CI. Partner with domain owners on metric semantics and thresholds, and with Systems on evidence for release decisions.
Deliver self-service APIs and scorecards backed by consistent definitions and results. Migrate existing consumers incrementally while preserving reporting continuity and traceability.
Own reliability and performance for your services through testing, observability, incident investigation and operational documentation; measure improvements in turnaround time, correctness and cost.
Write and review production code, lead design reviews for your projects, mentor engineers, and collaborate across Palo Alto, London and Belgrade to deliver software that users adopt.

Qualifications

5+ years of professional software engineering experience, or equivalent demonstrated experience and impact, including ownership of production backend or data-intensive systems.
Hands-on experience building software for autonomy or robotics, with direct exposure to evaluation, simulation, perception, planning or validation workflows.
Strong Python programming skills, with the ability to write, test, profile and debug maintainable production software.
Practical SQL skills, with AI coding tools expected to support writing and refining queries; ability to validate query logic, results and performance.
Demonstrated system-design ability across service APIs, data modeling, distributed processing and storage, including failure recovery, consistency and performance trade-offs.
Experience taking a project from requirements and design through implementation, rollout and operation, coordinating dependencies and communicating trade-offs clearly.
Practical understanding of model inference and evaluation, including held-out datasets, generalization, reproducibility and model versioning, and the differences between open-loop replay, closed-loop simulation and real-world measurements.
Ability to reason about sampling, confidence intervals, noisy metrics and valid comparisons, and to work with domain experts when stronger statistical analysis is needed.
Experience with cloud infrastructure, containers, CI/CD and production observability, plus a track record of constructive code review and mentoring. Bonus Points
Experience building metric registries, evaluation services, experiment-tracking systems or automated regression gates used by multiple engineering teams.
Experience with Spark, Databricks, Delta Lake or comparable distributed data systems, and with AWS, Docker or GitLab CI.
Experience migrating analytical or reporting systems without breaking downstream consumers, or linking metrics to scenario-level debugging and triage.
Experience with PyTorch or similar ML frameworks, evaluation of end-to-end driving models, or connecting offline model metrics to closed-loop and real-world driving behavior.

Pay Disclosure

Salary Range for California Based Applicants: $179,000-$223,800 (actual compensation will be determined based on experience, location, and other factors permitted by law).

Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums.

Equal Opportunity 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. Candidate Data Privacy and Technology 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.

Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.

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.

AI does not make hiring decisions: Qualified candidate applications are reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate.

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.

Interview Integrity & AI Policy

Our interview process is designed to evaluate your personal technical foundation, real-time problem-solving logic, and structured capabilities. Therefore, the use of assistive generative AI tools to formulate or deliver your solutions during live interview sessions is not permitted. We care most about how you think - how you make sense of unclear requirements, weigh trade-offs, and explain why you chose one approach over another. We value your unique human perspective, your authenticity, and the journey it takes to reach a solution.

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

Apply on careers.rivian.com About employer

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Jobs in the United States