Staff Software Engineer - Vehicle Data Management
Aurora InnovationMountain View, California$189k – $303kPosted 27 March 2026
Job Description
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. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn .
Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Staff Software Engineer to join Aurora’s Vehicle Data Management team. The Vehicle Data Management Team is responsible for offloading, ingesting and scaling data through various pipelines, including autonomy sensor data, vehicle logs, sims, models, and training sets. The ideal candidate will design and implement systems that efficiently work for both physical offloaders and cloud, and also be an effective liaison between onboard system to cloud system.
In this role, you will:
Lead design and scaling of various data systems (both on- and offline) dealing with hundreds of petabytes of multimodal sensor collections, autonomy simulations, and ML datasets
Help us improve the discoverability, throughput, and latency of our multi-modal offline data
Create internal products and best practices to help us become more efficient, transparent and innovative as we launch our commercial Aurora Driver product.
Mentor and grow our engineering team with new perspectives, technologies and designs
Be a force multiplier across a diverse set of hardware and software engineers and proactively work together with stakeholders to achieve cross-departmental goals and satisfy company OKR.
Required Qualifications
BS/MS or PhD in Computer Science or a related field
Minimum 5 years related experience
Required programming skills: GoLang/Python
General knowledge of backend software systems networking, load balancing, API gateways, system security, gRPC services.
AWS infrastructure experience, including S3 and DynamoDB in a production commercial system
Knowledge of database design, database management and database scalability.
Knowledge about workflow orchestration pipeline - Kubernetes, CI/CD tooling.
Comfortable working with Cloud Native services.
Comfortable with Linux/other unix environments
Desirable Qualifications
Proficiencies with coding in C++
Proficiencies with Linux system
Experience with large scale distributed systems or microservice architectures
A passion for writing robust, intuitive, high-performance code, and being pragmatic about it
Ability to navigate and work efficiently in large codebase
Strong software development background demonstrated by industry experience in building platforms that serve AV development and commercialization.
The base salary range for this position is $189,000.00-$303,000.00 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.
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#Mid-Senior
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, we operate in a hybrid work environment where Aurorans are in ... (truncated, view full listing at source)
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