Applied Intuition Logo

Applied Intuition

Research Engineer - Autonomy

Reposted 5 Hours Ago
Be an Early Applicant
Easy Apply
In-Office
Sunnyvale, CA
158K-304K Annually
Mid level
Easy Apply
In-Office
Sunnyvale, CA
158K-304K Annually
Mid level
The Research Engineer will develop AI algorithms for autonomous systems, collaborating with teams on end-to-end solutions and data-driven models.
The summary above was generated by AI
About Applied Intuition
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co.

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 passionate Research Engineer to join the Research Team at Applied Intuition. This team conducts world-class research for autonomous systems with applications to autonomous driving and general robotics. You will have access to millions of miles of large-scale data and industry-leading simulators and tools to develop cutting-edge models at scale. 

In addition to your research contributions, you will contribute to and learn from best practices in the autonomy and robotics industry within our fast-paced and customer-focused culture. Improvements deployed to our system immediately help our customers with their programs and deliver value to our business.

At Applied Intuition, you will:
  • Conduct research on architecture design, robustness, safety, and language modality incorporation for our differentiable stack
  • Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences
  • Collaborate with our ADAS stack engineering team to test and deploy end-to-end algorithms for mass production vehicles
  • Collaborate with our simulation team to deploy data-driven generation algorithms for highly efficient and automated tools
We’re looking for someone who has:
  • Hands-on experience with end-to-end autonomy, vision-language-action model, reinforcement learning, multi-view perception and ML planner
  • A passion for scalable, data-driven autonomy for real-world systems
  • Strong research skills and the ability to work both independently and collaboratively on projects
Nice to have:
  • MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field
  • Experience with training with large-scale data and ML models and/or applying language modality in AV stacks
  • Passion for building and shipping customer-focused software frameworks or tools

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: $158,000 - $304,000 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.

Top Skills

AI
Computer Vision
Machine Learning

Applied Intuition Sunnyvale, California, USA Office

157 S Murphy Ave, Sunnyvale, CA, United States

Similar Jobs

7 Days Ago
Easy Apply
In-Office
San Francisco, CA, USA
Easy Apply
350K-850K Annually
Mid level
350K-850K Annually
Mid level
Artificial Intelligence • Natural Language Processing • Generative AI
This role involves designing autonomous AI systems, creating evals to shape behavior, and developing defensive agents against adversarial AI, while collaborating with experts in the field.
Top Skills: Hardware InterfacesMulti-Agent SystemsPythonReinforcement LearningRobotics
14 Days Ago
In-Office
Santa Clara, CA, USA
7-10 Annually
Senior level
7-10 Annually
Senior level
Semiconductor • Manufacturing
This role involves leading research and technology development in AI/ML for semiconductor equipment, focusing on autonomous operation, software/hardware systems, and knowledge management.
Top Skills: AIEmbedded ControlMlSoftware Systems
48 Minutes Ago
Hybrid
2 Locations
160K-240K Annually
Senior level
160K-240K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead the high-performance networking systems for AV Core Infrastructure at GM, focusing on network design, capacity management, integration, and automation.
Top Skills: AnsibleAzureBgpDnsGCPLeaf-Spine ArchitecturesTerraformVpn

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account