Staff Network Software Engineer at Aurora Innovation

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Jan, 26

Salary

303000.0

Posted On

10 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C++, Python, Networking, Linux, Performance Optimization, Embedded Systems, Hardware Health Monitoring, Network Security, TCP, UDP, CAN Bus, RTP, gRPC, HTTP, Ethernet Switching, Time Sensitive Networking

Industry

Software Development

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 Software Engineer to join Aurora’s Vehicle Platforms team. The Vehicle Platforms team is responsible for bringing up Aurora’s self-driving vehicle platforms and integrating their core hardware components such as compute, base vehicle, embedded devices and sensors into the onboard software, creation of tools to support fleet operations and monitor hardware health, and performance optimization. In this role, you will: Define vehicle compute and network architecture Define network connectivity from vehicle to offboard services Perform bring up of new vehicle platforms Integrate new sensors and embedded devices and build interfaces for autonomy software Help define precision time protocol architecture across the network Address vehicle-specific concerns for vehicle runtime, e.g. networking stack configuration, vehicle stack configuration, performance, network security, hardware health monitoring Evolve the fleet from a collection of individual vehicles into a full service platform with integrated metrics and monitoring Optimize performance on Network, CPU and GPU and other limited onboard hardware resources Work with autonomy engineers to meet security, integrity and latency requirements for sensor data Utilize HIL (hardware-in-the-loop) test infrastructure to automatically verify onboard code changes and profile performance Provide engineering support for field testing and fleet operations Required Qualifications: BS/MS/PhD in Computer Science or related field, or equivalent industry experience Strong programming skills in C++ or Python CCNA/CCNP/JNCIP or equivalent networking industry experience Solid understanding of ethernet switching and interaction between OSI layers 1, 2, 3 and 4 Experience working with networking protocols, such as TCP, UDP, CAN bus protocols, RTP, gRPC, TFTP, HTTP, 802.1Q/VLANs Linux networking and troubleshooting A passion for writing robust, intuitive, high-performance code, and being pragmatic about it A passion to work at the hardware/software interface Ability to navigate and work effectively in large codebases Good communication skills and the ability to work efficiently with cross functional and geographically dispersed teams Desirable Qualifications: Experience with performance evaluation and optimization Experience with network QoS methods, Linux Kernel Networking, BGP routing protocol Experience with IP tables or Nftables Experience with Base-T1 automotive ethernet Automotive networking protocols; SOME/IP, UDS, CANbus Hardware health monitoring frameworks Designing and understanding complex software systems and interplay between system components Time sensitive networking protocols, e.g. PTP, gPTP, etc. Experience working with various sensors, e.g. lidars, radars, cameras, audio, etc. Experience with safety critical systems The base salary range for this position is $189,000- $303,000. 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. #LI-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. 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. Commitment to inclusion 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 careersiteaccommodations@aurora.tech. 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.

Responsibilities

The Staff Network Software Engineer will define vehicle compute and network architecture, integrating core hardware components into the onboard software. They will also optimize performance on network, CPU, and GPU resources while providing engineering support for field testing and fleet operations.