About The Company
Applied Intuition is a leading vehicle intelligence company dedicated to accelerating the global adoption of safe, AI-driven machines. Established in 2017 and now valued at $15 billion following its recent Series F funding round, the company offers comprehensive solutions including Vehicle Operating Systems, Self-Driving Systems, and a robust toolchain designed to assist customers in building intelligent vehicles and reducing time to market. Trusted by 18 of the top 20 global automakers and numerous major programs within the Department of Defense, Applied Intuition's solutions are integral to advancing vehicle intelligence across various industries such as automotive, defense, trucking, construction, mining, and agriculture. The company is headquartered in Mountain View, California, with additional offices in Washington, D.C., San Diego, CA, Fort Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Learn more at applied.co.
About The Role
As an AI/ML Engineer at Applied Intuition Defense, you will play a crucial role in developing, integrating, and maintaining real-time artificial intelligence and machine learning solutions deployed across a diverse range of autonomous vehicles operating in land, air, sea, and space domains. Your responsibilities will include working with multidisciplinary teams to enhance capabilities and demonstrate solutions in real-world scenarios using various hardware platforms. You will be tasked with designing, developing, and integrating AI/ML models that interface seamlessly across different systems, processing data in real-time with military operators in the loop. Your work will encompass the entire MLOps pipeline, including data ingestion, tooling, labeling, model architecture, training, evaluation, validation, inference optimization, and deployment. You will have access to large GPU clusters and collaborate with some of the industry's best AI talent to push the boundaries of autonomous military systems.
In this role, you will develop perception algorithms to process aerial imagery from various sensors such as electro-optical (EO) and infrared (IR), scale datasets through advanced simulation and data generation techniques, and create low-latency inference software for live deployment. You will work closely with hardware, sensor, tracking, autonomy, and testing teams to ensure smooth deployment during on-site Department of Defense testing and demonstrations. Additionally, you will utilize software-in-the-loop and hardware-in-the-loop testing methodologies to gather performance data and optimize system performance. Interacting with DoD customers to understand their needs and delivering superior solutions during field events will also be a key aspect of your responsibilities.
Qualifications
- MS or PhD in Computer Engineering, Robotic Engineering, Computer Science, or related field, or 5+ years of relevant industry experience
- Proficiency in training ML models using PyTorch on multi-machine, multi-GPU systems
- Experience in optimizing and deploying machine learning models on edge devices
- Strong programming skills in Python and C++
- Understanding of sensor physics and sensor parameters
- Experience with modern AI development tools such as GitHub Copilot and Cursor
- Ability to handle large datasets and adapt to new software and algorithms with minimal supervision
- Willingness to travel as required for project integration and demonstrations (estimated 2-5 days every other month)
- U.S. Citizen with eligibility for a U.S. Secret security clearance
Responsibilities
- Develop, integrate, and adapt advanced AI/ML algorithms for perception and autonomy systems across various platforms
- Process aerial imagery from sensors such as EO and IR for autonomous applications
- Scale datasets using simulation, diffusion, and other data augmentation techniques
- Create and optimize inference software to provide real-time feedback on live platforms
- Collaborate with hardware, sensor, tracking, and testing teams to ensure seamless deployment during field testing and demonstrations
- Leverage SIL and HIL testing to collect performance metrics and improve system robustness
- Engage with DoD customers to understand their operational requirements and deliver tailored solutions
- Contribute to the continuous improvement of the MLOps pipeline, including data ingestion, labeling, model training, and deployment processes
- Stay updated on the latest AI/ML advancements and incorporate best practices into development workflows
Benefits
- Competitive base salary with potential for performance-based bonuses
- Equity options and restricted stock units
- Comprehensive health, dental, and vision insurance coverage
- Life and disability insurance plans
- 401(k) retirement plan with employer matching
- Learning and wellness stipends to support professional growth and well-being
- Paid time off and holidays
- Opportunities for relocation assistance to facilities near Destin, FL, Washington, D.C., or San Diego, CA
Equal Opportunity
Applied Intuition is an equal opportunity employer and is committed to creating a diverse and inclusive work environment. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other protected characteristic as outlined by applicable law. We encourage candidates from all backgrounds to apply and join our team in advancing autonomous vehicle technologies and defense solutions.
