About Applied Intuition
We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.
About the role
We are looking for a Software Engineering Manager with strong computer vision foundations and experience in reconstruction techniques who is looking to productionize cutting-edge research into our new neural simulation product. You will develop a first-of-its-class simulation product that will enable the next generation of data-driven autonomous vehicles. Your work will also position Applied Intuition as the most advanced vehicle intelligence supplier to the largest OEMs in the world.
At Applied Intuition, you will:
- Build, manage and mentor a team of world-class machine learning and software engineers
- Develop a fast, scalable, and high fidelity neural simulator that will act as a playground to train and evaluate the next generation of data-driven autonomous vehicles
- Work closely with customers to define requirements and implement solutions for our neural simulation product
- Push the state of the art of multi-sensor 4D reconstruction, novel view synthesis and diffusion for dynamic scenes
We’re looking for someone who has:
- A Bachelor's degree in computer science, robotics, or related fields from a top institution
- 4+ years working in the machine learning field
- 2+ years of people management experience
- Experience with modern neural simulation techniques e.g. Gaussian splatting, NeRFs, Dust3R, and Diffusion Programming experience in Python or C++
Nice to have:
- Experience building software for technical end users
- Peer-reviewed research at machine learning conferences like NeurIPS, CVPR, ICML, ICLR, ICCV/ECCV, IROS, ICRA
- Experience using 4D reconstruction or diffusion in autonomous systems
- Experience evaluating and reducing domain gap between synthetic and real data
- Experience with classical reconstruction techniques e.g. VSLAM, SfM
- A Master’s degree or PhD in computer science, machine learning, robotics, or related fields
Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.
Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.
Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $204,000 - $343,000 USD annually.
Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.