Mountain View, California, United States · Hybrid
$171k–$274k/yr
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 efficie…
Skills: CUDA, C++, Python, Deep learning, Performance optimization
Mountain View, California, United States · On-site
$125k–$175k/yr
About NewsBreak Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news…
Skills: Python, C++, Java, Machine Learning, Deep Learning
Mountain View, California, United States · On-site
$171k–$247k/yr
Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in management consulting, operations, business strategy, investment banking, venture capital, private equity or corporat…
Skills: Business Strategy, Management Consulting, Operations, Executive Stakeholder Management, Cross-functional Leadership
Mountain View, California, United States · On-site
We’re seeking a Sr./Director of Demand Generation who thrives in a dynamic environment, relishes the opportunity to build from scratch, and knows how to create significant impact with limited resources. This is both a st…
Skills: Demand generation, Marketing strategy, B2B marketing, HubSpot, Salesforce
Mountain View, California, United States · On-site
$152k–$277k/yr
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, w…
Skills: Machine learning, Deep learning, Python, Java, Apache Spark
Mountain View, California, United States · On-site
$152k–$282k/yr
Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living…
Skills: Distributed Systems, Java, Go, Python, AWS
Mountain View, California, United States · On-site
$152k–$277k/yr
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, w…
Skills: Machine Learning, Deep Learning, Python, Java, Apache Spark
Mountain View, California, United States · Hybrid
$200k–$380k/yr
DataVisor is a next-generation SaaS company that protects the world’s largest enterprises from fraud and money laundering. Our award-winning AI decision platform combines industry-leading unsupervised machine learning (U…
Skills: Java, C++, Python, System Design, Distributed Systems
Mountain View, California, United States · Hybrid
$160k–$261k/yr
Overview Do you want to utilize your knowledge of cutting-edge AI and big data to make a difference in online advertising? How about working in the beautiful Microsoft campus right in the heart of Silicon Valley, one of …
Skills: C++, Java, C#, Distributed Systems, Big Data
Mountain View, California, United States · Hybrid
$160k–$261k/yr
Overview Do you want to utilize your knowledge of cutting-edge AI and big data to make a difference in online advertising? How about working in the beautiful Microsoft campus right in the heart of Silicon Valley, one of …
Skills: Artificial Intelligence, Distributed Computing, C++, Java, C#
Mountain View, California, United States · On-site
$147k–$210k/yr
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience programming in Python or C++. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, opt…
Skills: Python, C++, Machine learning infrastructure, Model deployment, Model evaluation
Mountain View, California, United States · Remote OK
$130k–$150k/yr
About DataVisor DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enric…
Skills: Technical Account Management, Fraud Detection, Risk Management, Machine Learning, Data Integration
Mountain View, California, United States · Hybrid
$170k–$190k/yr
At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminati…
Skills: Javascript, Html, Css, Python, Go
Mountain View, California, United States · On-site
$120k–$160k/yr
At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminati…
Skills: Healthcare Operations, Revenue Cycle Management, Denials Management, Claims Optimization, Data Analysis
Mountain View, California, United States · Hybrid
$200k–$260k/yr
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Sear…
Skills: Site Reliability Engineering, Cloud Infrastructure, Distributed Systems, Software Development, Automation
Mountain View, California, United States · On-site
$262k–$364k/yr
Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 10 years of work experience using analytics to solv…
Skills: Data Science, Statistics, Python, R, SQL
Mountain View, California, United States · On-site
$200k–$300k/yr
At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation worl…
Skills: Python, PyTorch, Robotics, Machine Learning, Systems Engineering
Mountain View, California, United States · Hybrid
$130k–$190k/yr
At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminati…
Skills: Reactjs, Python, Postgresql, Javascript, Full-stack development
Mountain View, California, United States · Remote OK
$131k–$175k/yr
About Coursera + Udemy Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 …
Skills: Sigma, Business Intelligence, Data Engineering, SQL, Databricks
Mountain View, California, United States · Hybrid
$140k–$265k/yr
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Sear…
Skills: Infrastructure engineering, Distributed systems, Cloud-native applications, Storage systems, Databases
Mountain View, California, United States • Hybrid
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
The Staff Software Engineer will conduct performance analysis and optimization of deep learning networks for autonomous vehicle systems. They will collaborate with cross-functional teams to improve software architecture, system latency, and model deployment efficiency.
Candidates must have at least 5 years of professional software engineering experience and a degree in Computer Science or a related field. Strong proficiency in CUDA, C++, Python, and high-performance computing techniques is required.
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. As a Staff Software Engineer focusing on Deep Learning Acceleration at Aurora, you will play a pivotal role in enhancing the performance of Deep Learning networks utilized in our Autonomous Vehicle (AV) systems.
Your primary responsibility will be to conduct thorough performance analysis and optimization of these networks, ensuring they operate efficiently both onboard the vehicle and during training on large-scale data centers. This position requires a deep understanding of software architecture, system performance, and latency issues, as you will be tackling various challenges that arise in these areas. You will collaborate with a team of talented engineers and researchers to develop solutions that improve the overall efficiency and reliability of our self-driving technology. Your work will directly contribute to making transportation safer and more accessible. The role demands a strong analytical mindset, particularly in performance troubleshooting, where you will utilize techniques such as profiling and the roofline model to identify bottlenecks and optimize performance. In addition to your technical skills, you will need to be adaptable and quick to learn new technologies, as the field of deep learning and autonomous systems is rapidly evolving. Strong communication skills are essential, as you will be working in a fast-paced environment with large code bases and collaborating with cross-functional teams.
Conduct performance analysis and optimization of Deep Learning networks running on the Autonomous Vehicle (AV).
Optimize software architecture, system performance, and latency for deep learning applications.
Work on deployment of deep learning models on the AV and training on large-scale data centers.
Troubleshoot performance issues using profiling and roofline model techniques.
Collaborate with cross-functional teams to enhance the efficiency of self-driving technology.
Minimum 5+ years of professional experience in software engineering.
BS, MS, or PhD in Computer Science or a related field.
Strong programming skills in CUDA, C++ and Python
Extensive experience in high-performance computing and parallel programming, specializing in optimizing workloads to reduce GPU memory usage, minimize latency, and/or maximize throughput.
Proficiency in leveraging performance analysis tools such as NVIDIA Nsight Systems , Nsight Compute and applying techniques like roofline model for performance optimization.
Hands-on experience in optimizing DL/ML workloads at the framework level using at least one deep learning framework (e.g., PyTorch, TensorFlow), ensuring efficient and scalable model deployment.
Strong understanding of the fundamentals of computer vision and transformer-based deep learning architectures, with proficiency in foundational neural network building blocks.
Strong analytical skills for diagnosing and troubleshooting performance bottlenecks in complex systems.
Demonstrated ability to quickly learn and adapt to emerging technologies and tools in a fast-paced environment
Experience working on large code bases in a fast-growing environment.
Strong communication skills, enabling effective teamwork across multidisciplinary teams.
Comfortable working in Linux/Unix environments.
Hands-on experience in motion planning or related fields such as robotics, autonomous systems, systems software, or computer vision.
Experience with TensorRT, OpenAI Triton, Mojo and other inference acceleration tools.
For roles based in Mountain View, CA and San Francisco, CA: The salary range for this position is $189,000 - $274,000 per year.
For roles based in Pittsburgh, PA: The salary range for this position is $171,000 - $247,000 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.
#LI-Mid-Senior
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.
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.
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.
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
Based on 633 listings with disclosed salaries, most data & analytics jobs in Mountain View, CA pay between $140k–$293k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 700 open data & analytics positions in Mountain View, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Google, LinkedIn, NewsBreak, Databricks, ServiceNow, among others. Browse the listings above to see every active employer.
Yes — 208 of the 700 open data & analytics positions offer remote or hybrid work (26 remote, 182 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
