Staff Software Engineer, Aurora
Logging, C++
$189-303k
+ Annual Bonus + Equity
3 days a week in office (Mountain View, CA)
Self-driving technology company
Be an early applicant
Self-driving technology company
1001+ employees
Be an early applicant
$189-303k
+ Annual Bonus + Equity
3 days a week in office (Mountain View, CA)
1001+ employees
Company mission
To deliver the benefits of self-driving technology safely, quickly, and broadly.
Role
Who you are
- BS/MS/PhD in Computer Science or related field, or equivalent industry experience
- Expert-level C++ programming skills and the ability to design high-performance, thread-safe, and memory-efficient systems in a Linux environment
- Proven experience working with storage technologies, block devices, and making informed file system choices based on write endurance, throughput, and crash-consistency constraints
- Ability to work across multiple programming languages and paradigms
- A passion for writing robust, intuitive, and pragmatic production code
- Ability to navigate and work effectively in large codebases
- Strong verbal and written communication skills
- Ability to work autonomously and collaborate effectively with colleagues across time zones
Desirable
- Experience with performance evaluation and optimization
- Strong programming skills in GoLang
- Experience with safety critical systems
What the job involves
- 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 are searching for a Staff Software Engineer to join Aurora’s Logging & Offload team
- This team is responsible for Aurora’s self-driving vehicle software stack, focusing on resource-optimized data collection and streamlined wireless data offloading at scale across diverse environments
- Design and implement high-throughput, low-latency logging frameworks capable of handling massively parallel data streams
- Define smart, dynamic data collection policies (e.g., triggering high-fidelity snapshots during performance events while intelligently downsampling routine driving data)
- Evaluate, select, and tune file systems to maximize write speeds and guarantee data integrity
- Collaborate with systems and hardware teams to select storage media (NVMe, SSDs) and optimize kernel-level I/O performance
- Work with autonomy engineers to meet performance and efficiency requirements for data collection and offload
- Provide engineering support for field testing and fleet operations
- Mentor senior engineers, set coding standards, and drive the long-term roadmap for on-vehicle data lifecycle management
Our take
The trucking industry is facing growing pressure from driver shortages, rising delivery demand, and the need for safer, more efficient freight transport. Long highway routes are expensive and tiring for drivers, especially on repetitive trips so companies are looking for new ways to move goods faster and more reliably while keeping costs low and improving safety.
Aurora Innovations is developing self-driving technology for long-haul trucks through its "Aurora Driver" system. Already, the company is operating autonomous freight routes across Texas and nearby states, often handling the highway portion of deliveries while human drivers complete local drop-offs. On top of this, the company is partnering with major companies like McLane, Volvo Autonomous Solutions, and Hirschbach to bring autonomous trucking into real commercial use.
In an exciting move, Aurora is now going beyond testing and into large-scale operations. McLane has approved driverless freight runs between Dallas and Houston, while Volvo and Aurora have expanded autonomous deliveries into Oklahoma City. With plans to scale routes across the US and agreements for hundreds of future autonomous trucks, Aurora is gearing up to play a very powerful position in autonomous freight transport.
Steph
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Dec 2020
$400m
GROWTH EQUITY VC
Feb 2019
$600m
SERIES B
Total funding: $1.1bn
Company HQ
Strip District, Pittsburgh, PA
Leadership
Chris Urmson
(Co-Founder & CEO)Chris graduated from Carnegie Mellon University with a PhD in Robotics. Prior to co-founding Aurora in 2017, they were the CTO of Self-Driving Cars at Google.
Drew Bagnell
(Co-Founder & Chief Scientist)Drew is a Consulting Professor at Carnegie Mellon University, where they received their PhD in Robotics. Previously, they were an Autonomy Architect & Perception Lead at Uber Advanced Technology Center.
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