Software Engineer, Quantitative Evaluations
The Software Engineer, Quantitative Evaluations at Confidential Client focuses on developing and improving metrics to measure the performance and driving qualities of autonomous driving software. This role involves analyzing complex driving data, leveraging simulation and real-world logs, and collaborating across teams to enhance evaluation methods and support data-driven decisions. The position requires strong quantitative skills, software engineering expertise, and a passion for autonomous vehicle technology.
About CareerTakes
CareerTakes is a next-generation AI recruiting platform that connects early-career talent with real roles at established companies across regulated industries.
👉 Important disclosure: CareerTakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Technology, Information and Internet.
Applicants for this role may also receive access to additional matched opportunities through the CareerTakes platform.
What You’ll Do
Develop and deliver evaluation signals, metrics, and pipelines that measure the quality and driving characteristics of the onboard software stack (Planner, Perception, etc.) for a confidential client working in autonomous driving and related systems.
- Develop signals to measure performance and driving qualities using statistics, math, physics, algorithms and machine learning.
- Mine real-world driving logs and design creative simulation experiments to evaluate software changes.
- Design and implement methods that connect onboard software changes to simulated and real-world outcomes.
- Build and maintain data processing pipelines and tooling for robust metric computation.
- Advocate and implement code health best practices across a large, multi-language codebase.
- Analyze results, improve metric interpretability and quality, and present recommendations to technical and leadership stakeholders.
- Collaborate closely with engineers, data scientists, statisticians, and product/engineering leadership to deliver evaluation products that support data-driven release decisions.
Keywords: software engineer, quantitative evaluations, autonomous vehicles (AV), planner evaluation, simulation, statistical analysis, metrics, A/B testing, C++, Python, SQL, machine learning, data pipelines, evaluation metrics.
You Have
- BS in Computer Science, Robotics, Statistics, Physics, Math, or another quantitative field.
- 1+ years of professional industry experience working on data-driven engineering or analytics problems.
- Experience navigating and modifying large codebases with languages such as C++, Python and SQL.
- Experience performing statistical analyses and building data processing pipelines.
- Demonstrated discipline for writing, reviewing, and merging code that follows industry standards for maintainability and code health.
- Strong quantitative/data fluency and ability to work independently on open-ended technical problems.
- Strong communication skills to collaborate across engineering, analytical, and leadership teams.
We Prefer
- Practical experience coding in C++.
- Experience applying machine learning to measurement or evaluation problems.
- Experience with A/B experimentation infrastructure or causal experiment design.
- Experience designing, building, and validating metrics to measure quality in complex systems.
- Familiarity with rapid prototyping and ad-hoc analysis tools (e.g., Jupyter, pandas, R, MATLAB).
- Prior experience in the AV industry or working with simulation-driven evaluation systems.
Compensation & Benefits
The expected base salary range for this full-time position across US locations is $170,000—$216,000 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your CareerTakes recruiter can share the specific salary range for the role location during the hiring process.
- Employees may also be eligible to participate in a discretionary annual bonus program, equity incentive plan, and a comprehensive benefits program, subject to eligibility.
- Employment is contingent on eligibility to work in the U.S. and may be subject to background checks or other pre-employment screening as permitted by law.
- We comply with applicable state and local pay transparency, background check, and accommodation laws and will provide reasonable accommodations to applicants and employees with disabilities upon request.
Location & Work Model
This role follows a hybrid work schedule based in Mountain View, CA and reports to a Sr. Staff Engineering Manager at the confidential client. Specific on-site expectations and remote work allowances will be discussed during the interview process.
How to Apply
Submit your resume through the CareerTakes application flow. Strong applicants may include links to project samples, GitHub repos, notebooks, or other artifacts that demonstrate data processing, metric design, statistical analysis, or relevant code contributions.
CareerTakes may provide additional matched opportunities on behalf of the confidential client. CareerTakes will coordinate communications and scheduling; hiring decisions are made by the confidential client.
Equal Opportunity & Hiring Transparency
CareerTakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
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