Software Engineer, Performance Engineering Optimization
- Pay
- $116,000 – $174,000 per year
- Location
- Mountain View, CA (Remote)
- Job type
- Full-time
- Level
- Mid-level
- Experience
- 1+ year
- Education
- Bachelor's degree
- Listed
- 30 days ago
Skills & highlights for this role
- C++
- Python
- ETL pipelines
- Linux
- statistical and ML methods for data analysis
Also useful
- cloud data pipelines
- soft real-time systems performance optimization
Stated benefits & perks
- Bonus
- Equity
What we are looking for
We’re searching for a Software Engineer for our Performance Engineering Optimization (PEO) team.
The PEO team aims to empower Aurorans to reduce onboard software latency & improve hardware utilization by:
- Building production-level tooling & processes to ensure software performs as required.
- Provide for rapid robotic software performance experimentation through data-driven feedback loops.
- Building tooling to discover & diagnose software & hardware performance problems.
- Help autonomy engineers determine the cause and effect relationship between onboard events.
In this role, you will
- Create and contribute to tooling that probes, collects & processes monumental amounts of performance data both on-vehicle & in-simulation.
- Design, build, and maintain robust, cost-effective data pipelines and processing systems that ingest and transform data across sources into our warehouse, supporting downstream tools for performance visualization and analysis
- Collaborate cross functionally with engineers in various domains within Aurora, including Autonomy, Sensing, Vehicle Platform Infrastructure on optimization efforts.
Required Qualifications
- C++ or Python programming and software design skills.
- Knowledge of ETL pipelines.
- Ability to apply statistical and ML methods for data analysis.
- Experience and knowledge of Linux fundamentals.
- BS or MS in Robotics, Computer Science or a related field with 1-3 years of professional experience.
Desirable Qualifications
- Knowledge and interest in cloud storage, cloud based data pipelines.
- Experience in data science and data engineering on cloud platforms.
- Familiarity with Linux OS fundamentals and basic concepts of performance optimization for soft real-time systems.
Pay and benefits
The base salary range for this position is $116,000 - $174,000 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.
Working at Aurora
At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together - all without any jerks.
We believe in-person work increases collaboration, empathy, and our ability to lead effectively. As a result, Aurorans are expected to work from the office at least 3 days per week, with some roles requiring more frequent in-office presence, up to 5 days per week, based on operational needs.
Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom
Our commitment to safety
At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what.
Our commitment to inclusion
For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.
Who we are
Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.
The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.
At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge.
Equal opportunity and legal notices
Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law.
Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at.
From Aurora Innovation's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Software Engineer, Performance Engineering Optimization role at Aurora Innovation?
The Software Engineer, Performance Engineering Optimization posting at Aurora Innovation states compensation of $116,000 – $174,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Aurora Innovation's official career site.
Where is the Software Engineer, Performance Engineering Optimization job at Aurora Innovation located?
Yes, this Software Engineer, Performance Engineering Optimization opening at Aurora Innovation is listed as Mountain View, CA (Remote). Always check Aurora Innovation's application page for specific state eligibility or relocation policies.
What qualifications are required for Software Engineer, Performance Engineering Optimization at Aurora Innovation?
For the Software Engineer, Performance Engineering Optimization role, Aurora Innovation highlights 1+ year of relevant experience; a bachelor's degree; experience with C++, Python, ETL pipelines, Linux, statistical and ML methods for data analysis. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Software Engineer, Performance Engineering Optimization position at Aurora Innovation?
This listing links directly to Aurora Innovation's Ashby application page. You can apply directly on Aurora Innovation's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.