Aurora
Software Engineer, Interactive Remote Assistance Simulator
Job Summary
The role involves designing and implementing a real-time 3D simulator to advance autonomous vehicle technology. The candidate will develop and refine deep learning algorithms, contribute to neural rendering and simulation research, and collaborate with cross-functional teams. A strong background in graphics, deep learning, and autonomous systems is required, with experience in cloud environments and AI frameworks preferred. The position offers a competitive salary range, bonuses, equity, and comprehensive benefits.
Required Skills
Benefits
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. Our team is at the forefront of developing an interactive simulator for autonomous vehicles, leveraging cutting-edge technologies like gaussian splatting, foundation models, agentic AI, and so on. We are seeking a highly creative and driven engineer to pioneer the development of a next-generation simulation environment. If you are passionate about innovation and want to work on groundbreaking technology that will redefine the future of transportation, we encourage you to apply.
In this role, you will
- Spearhead the design, implementation, and optimization of a real-time 3D simulator.
- Develop and integrate novel deep learning algorithms to enhance the realism and capabilities of the simulator.
- Contribute to the continuous improvement of our system reliability and maturity in a production environment.
- Drive the research and prototyping of new ideas in neural rendering and simulation, contributing to our intellectual property portfolio
- Collaborate with cross-functional teams, including machine learning researchers, software engineers, and system architects, to translate ambiguous requirements into robust technical solutions.
- Champion a "safety-first" mindset throughout the entire product lifecycle, from initial concept to production, including formal validation and verification processes.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven track record of self-motivated, customer-oriented innovation, which may include patents, research papers, or cutting-edge work experience.
- History of owning the full product lifecycle - from prototype to production.
- Strong programming skills in Python and/or C++.
- Experience with 3D graphics and rendering pipelines.
Desirable Qualifications
- Master's or Ph.D. in Computer Science, Engineering, or a related field.
- Hands-on experience with Gaussian Splatting, Structure from Motion (SfM), NeRFs (Neural Radiance Fields), and frameworks like Nerfstudio.
- Proficiency with deep learning frameworks such as PyTorch or TensorFlow.
- Experience with camera models, ray marching, and physically based rendering (PBR) techniques.
- Familiarity with applying diffusion models and other generative AI tools to image and 3D data.
- Experience building and maintaining services in a cloud environment (e.g., AWS, GCP, Azure) and working with containerization technologies like Kubernetes.
- Background in scaling geospatial data pipelines.
- Experience integrating software components into robotic or autonomous vehicle
The base salary range for this position is $146K-$234K 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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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 [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
Aurora is building self-driving technology that will revolutionize the future of transportation.
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