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$171k–$303k/yr
Full-time
bachelor degree, postgraduate degree
Annual bonus, Equity compensation, Health insurance
Posted 31d ago
~40 hrs/week
Responsibilities
You will develop and implement state-of-the-art perception and tracking algorithms to enhance the Aurora Driver's performance in diverse traffic environments. The role involves driving the software development lifecycle from prototype to production while collaborating cross-functionally to ensure scalable and efficient system architecture.
Requirements
Candidates must hold a Master's degree or higher in a technical field, or a Bachelor's degree with relevant industry experience. Proficiency in C++ and Python is required, along with strong knowledge in machine learning frameworks and perception systems.
Full 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.
What we are looking for
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 and Machine Learning practitioner to join the Perception Tracker Team at Aurora. In this role, you will play a critical part in elevating the Aurora Driver’s perception performance and expanding our driverless operational domain across key routes throughout the United States. Your work will be fundamental to scaling our mission, directly contributing to the delivery of self-driving benefits safely, quickly, and broadly.
In this role, you will
Tackle end-to-end perception challenges, including tracking dynamic actors, recognizing actions and attributes, and developing deep semantic understanding of diverse traffic environments.
Research and develop state-of-the-art deep learning and machine learning models to enhance perception performance in challenging, real-world scenarios, such as highway and urban driving, long-range multi-sensor tracking, and degraded sensor conditions.
Collaborate cross-functionally to iterate on the Perception system, translating insights from on-road and simulated testing into robust, high-quality, and well-tested software solutions.
Drive the software development lifecycle from prototype to production, focusing on large-scale data analysis and the deployment of performing, production-ready solutions on the real-time Aurora Driver platform.
Contribute to architectural strategy and team collaboration, ensuring our perception systems remain scalable, efficient, and at the forefront of autonomous driving technology.
Example projects that a candidate could potentially contribute to (list not exhaustive):
Design and implementation of state-of-the-art object tracking algorithms.
Design algorithms to extract, leverage, and fuse complementary information from different sensors.
Design and implement state-of-the-art ML systems for object tracking and attribute estimation leveraging expertise in recursive state estimation, Hidden Markov models, structured prediction, and sequential models.
Build and improve model pipelines for large-scale and efficient model training.
Analysis of failure modes and implementation/testing of solutions to address the surfaced issues
Required Qualifications
Master's degree or higher in Computer Science, Robotics, Electrical Engineering, or a related field (or Bachelor with 2+ years of relevant industry experience in software engineering).
Proficient software engineering skills in C++ and Python, with a focus on writing clean, scalable, and efficient production-quality code.
Working knowledge in one or more focus areas of ML: deep learning, computer vision, recursive state estimation, structured prediction, optimization, and others.
Experience with PyTorch, Tensorflow, and/or other deep learning frameworks
Desirable Qualifications
Experience deploying production-grade CV/ML models within real-time computing environments.
Strong grasp of fundamentals: linear algebra, discrete and continuous optimization, supervised and unsupervised methods, generative and discriminative methods, and Hidden Markov Models.
Hands-on experience with VLM, foundational or world models.
Hands-on experience in CUDA or high-performance GPU programming for accelerated computing.
Publication record at top-tier robotics/computer vision conferences/journals, or strong industry experience in relevant fields (robotics, computer vision, self-driving technology)
Demonstrated experience automating ML workflows and optimizing training pipelines for efficiency.
Contributions to open source project(s)
Proven ability to thrive in highly collaborative, cross-functional engineering environments.
For roles based in Mountain View, CA and Seattle, WA: The salary range for this position is $189,000 - $303,000 per year.
For roles based in Pittsburgh, PA: The salary range for this position is $171,000 - $273,000 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, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.
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
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 [email protected].
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.
Aurora (Nasdaq: AUR) delivers self-driving technology to make trucking safer, more reliable, and more efficient.
Industry
Software Development
Company size
1,001-5,000 employees
Founded
2017
Headquarters
Pittsburgh, Pennsylvania
LinkedIn followers
122,925
Total funding
$4.2B
Aurora (Nasdaq: AUR) is delivering the benefits of self-driving technology safely, quickly, and broadly to make transportation safer, more reliable, and more efficient than ever before. The Aurora Driver is a self-driving system, initially designed to operate freight-hauling trucks. Aurora is partnering with industry leaders across the freight and logistics ecosystem, including FedEx, Volvo Trucks, PACCAR, Uber Freight, Werner, Schneider, and Ryder. For Aurora’s latest news, visit aurora.tech.
Offices: 1600 Smallman St, Pittsburgh, Pennsylvania 15222, US · 280 N Bernardo Ave, Mountain View, California 94043, US · 700 Freeport Pkwy, Suite 300, Coppell, Texas 75019, US · 1411 4th St, Suite #1100, Seattle, WA 98101, US · 136 Enterprise Blvd, Bozeman, Montana 59718, US
How much do Software jobs in Mountain View, CA pay?
Based on 998 listings with disclosed salaries, most software jobs in Mountain View, CA pay between $141k–$293k per year. Individual offers vary with seniority, company size, and specialization.
How many Software jobs are open in Mountain View, CA right now?
There are currently 1,096 open software positions in Mountain View, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Software roles in Mountain View, CA?
Companies currently hiring include Google, LinkedIn, Nuro, NewsBreak, ServiceNow, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Software jobs in Mountain View, CA?
Yes — 358 of the 1096 open software positions offer remote or hybrid work (44 remote, 314 hybrid).
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