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# Software Engineer, Edge AI

- **Company:** Rivian
- **Location:** Palo Alto, CA, United States
- **Experience:** Experienced
- **Salary:** $116,300.0 - $159,950.0
- **Contract:** Internship / Graduate position
- **Skills:** Adobe InDesign, Android Software Development, Audio Signal Processing, Big Data, C++ (Programming Language), Code Review, Cyber Security, Computer Engineering, Software Debugging, Software Design Documents, Linux, File Systems, Fraud Prevention and Detection, Inter-Process Communication, Java Native Interface, Machine Learning, Open Source Technology, Cloud Services, Software Engineering, Speech Recognition, Wi-Fi Technology, Datadog, Real Time Systems, Concurrency, Build Management, Perf (Linux), Information Technology, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, Speech Synthesis, TensorRT
- **Published:** September 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=42c984febb3b6251

## About the Role

* 2-4 years of software engineering experience, or a BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field with equivalent demonstrated building experience.
 * Demonstrated evidence of building complex software systems. This can come from anywhere: hackathons, project or robotics competitions, a university tech club or engineering team, a substantial internship, open-source contributions, or production work at a previous job. We want to hear about something you built, what was genuinely hard about it, and how you got it working.
 * Strong Linux and systems fundamentals: processes, threading and concurrency, memory, inter-process communication, and filesystems, plus the ability to debug a running system with tools like gdb, perf, and strace.
 * Proficiency in either C++ or Rust.
 * Ability to do methodical debugging on large interconnected systems.
 * Clear written communication in design docs, tickets, and code reviews., * Experience with inference runtimes such as ONNX Runtime, TensorRT, TFLite, llama.cpp, ExecuTorch, or a silicon vendor SDK, including quantization and deployment to constrained hardware.
 * Experience with audio or speech models: speech recognition, text to speech, wake-word detection, voice activity detection, or audio signal processing.
 * Android development experience, particularly AOSP, the audio stack, HALs, Binder, or JNI.
 * Embedded, automotive, robotics, or other resource-constrained real-time systems.
 * Networking and large-scale data transfer: throughput tuning, gRPC or similar IPC frameworks, and observability tooling.
 * Contributions to open-source systems or ML infrastructure projects.

## Description

This is a hands-on individual contributor role for an engineer early in their career who wants real systems problems. You will write C++/Rust for services that run inside a car, under fixed CPU and memory budgets, latency targets a customer can feel, and no ability to redeploy in an afternoon.

Where you start depends on your strengths and what the team needs at the time. You will work on one of the following areas as a starting project: the telemetry platform, the high-throughput upload path for ADAS and camera data, embedded inference for the voice assistant, and customer-facing features built on top of all three.

We care far more about evidence that you build hard things than about years of experience or the particular stack you have used.

What You'll Do

 * Design and build native services in C++/Rust that run on vehicle compute across Linux, Android, and QNX targets.
 * Work on the telemetry platform: signal collection, metrics derived on the vehicle rather than in the cloud, diagnostics, and the tooling engineering teams use to configure what a fleet reports.
 * Improve the vehicle data upload path, including throughput and reliability over Wi-Fi and cellular, event-triggered and on-demand retrieval, and the cost of moving data at fleet scale.
 * Deploy and optimize ML models on the vehicle's NPU, including speech recognition, synthesis, and wake-word detection, and hold them to per-platform latency and accuracy targets.
 * Instrument what you build so it can be debugged in the field, then use that data to find and fix problems on real vehicles.
 * Benchmark, soak test, and defend performance budgets so regressions are caught before they ship.
 * Write design docs, review code, and debug on bench hardware and in vehicles., Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. 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. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status.

Rivian and Volkswagen Group Technologies 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

Rivian and Volkswagen Group Technologies" 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 and Volkswagen Group Technologies 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) record keeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.

Rivian and Volkswagen Group Technologies 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 and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services.

Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, 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.

If you provide a mobile telephone number as part of your application or during the recruitment process, Rivian and Volkswagen Group Technologies may use that number to contact you via SMS text message for recruitment-related purposes, including scheduling, logistics, and status updates. Message and data rates may apply. You may opt out of SMS communications at any time by replying STOP to any text message you receive from us. Consent to receive SMS messages is not a condition of applying for or being considered for employment.


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