Applied Intuition
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
Engineering Manager - Axion
Share this job
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 team
Applied Intuition is building the toolchain for autonomy across air, land, sea, space and spectrum. The Axion product family is a modular, all-domain autonomy toolchain: simulation (Axion Sim), hardware/software integration (Axion Integrate), MLOps for ATR models (Axion MLOps), mission control UIs (Axion Mission Control), etc.
The Axion team is mission-critical: enabling development, test, integration and deployment of collaborative autonomous systems in contested environments. You’ll be working at the intersection of high-fidelity simulation, autonomy software, hardware platforms, and human-machine interfaces.
About the role
As an Engineering Manager on the Axion team, you will lead a cross-functional engineering group (software, simulation, integration, UI/UX) to deliver high-impact autonomy toolchain capabilities. You will drive engineering execution, mentor and grow a team of engineers, define technical roadmaps, hold the bar on quality, and collaborate closely with product, operations, hardware/integration teams, and defense customers.
Your work will influence the architecture, scalability, performance, and field-readiness of Axion products.
At Applied Intuition, you will:
- Lead, coach, and grow a team of engineers (individual contributors, leads) working on one or more Axion modules (e.g., simulation engine, mission-control UI, hardware integration pipeline)
- Define and own the technical roadmap for your area: translate product vision into deliverables, ensure alignment with overall Axion strategy
- Drive software engineering best practices: architecture design, code reviews, CI/CD, test automation, performance/scalability, quality metrics
- Manage project execution: planning sprints/releases, monitoring progress, identifying risks/blockers, ensuring delivery of milestones on time and to quality
- Work with product management and UX/design to refine requirements, make trade-offs, and ensure that the engineering roadmap maps to user/customer value and field readiness
- Collaborate with hardware/integration and operations teams to ensure seamless delivery of autonomy toolchain across simulation, hardware-in-the-loop (HIL), live platforms
- Ensure the team is set up for high-impact: recruiting top talent, setting clear goals, fostering a culture of ownership, iteration, and innovation
- Communicate status, risk, and outcomes to senior leadership; escalate as needed; provide engineering input for business decisions
- Stay abreast of emerging technologies: simulation, autonomy, AI, real-time systems, human-machine interfaces, and help the team apply them
We’re looking for someone who has:
- Bachelor’s degree in Computer Science, Engineering, or related field (advanced degree preferred)
- Proven experience (e.g., 3 – 5+ years) in software engineering roles with increasing responsibility, and at least 1 – 2 years in a leadership role (team lead, manager) delivering complex systems
- Strong technical background: architecture, design, implementation and delivery of large-scale, high-performance software systems (ideally simulation, real-time, autonomy, robotics, or hardware integration)
- Experience managing full software development lifecycle: requirements, design, implementation, testing, deployment, maintenance
- Experience in mentoring and growing engineering teams: recruiting, performance management, career development, building high-performing teams
- Excellent collaboration and communication skills: able to work cross-functionally with product, UX/design, hardware/integration, operations, senior leadership
- Comfort in a fast-paced, highly-ambiguous environment; ability to make thoughtful trade-offs between speed, quality, and scalability
- US citizenship. You must already have or be eligible to receive an active US Top Secret security clearance upon onboarding to this role
Nice to have:
- Experience in autonomy, robotics, simulation or unmanned systems (air/land/sea) and tool-chain development
- Familiarity with multi-domain systems (e.g., air/land/sea/spectrum) and heterogeneous fleets/platforms
- Familiarity with real-time systems, sensor fusion, hardware/software integration, HIL/SIL testing, cloud infrastructure, large datasets
- Demonstrated ability to lead architecture/design of modular, scalable software systems with high performance constraints
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.
Ready to apply?
Apply to Applied Intuition
Engineering Manager - ML Platform and Infrastructure
Share this job
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
As an Engineering Manager on the ML Platform team, you'll lead a world-class group of engineers focused on building the infrastructure that powers Physical AI at scale. Your team will own three critical areas: Training & Inference Orchestration, where we build frameworks to efficiently schedule and run massive jobs across thousands of GPUs; GPU Cluster Architecture, where we design and scale what will be the largest GPU cluster for Physical AI in the industry; and Performance Optimization, where we push the limits of hardware utilization, throughput, and cost efficiency for large-scale training and inference workloads. You'll work at the intersection of systems engineering and ML, partnering directly with stack development and research teams to remove bottlenecks and accelerate the path from experimentation to production.
At Applied Intuition, you will:
- Grow and manage a team of world-class infrastructure and systems engineers with the goal of delivering a best-in-class ML platform for Physical AI
- Own the design and evolution of frameworks for orchestrating distributed training and inference jobs across thousands of GPUs
- Drive the buildout and scaling of our GPU cluster infrastructure, making critical decisions on architecture, scheduling, networking, and resource management
- Lead efforts to optimize training and inference performance — including throughput, fault tolerance, GPU utilization, and cost efficiency at scale
- Set team goals and roadmap in alignment with research milestones, model development timelines, and production deployment requirements
- Partner closely with research, stack development, and infrastructure teams to understand their workflows and accelerate their iteration speed
- Drive hiring, mentoring, and growth for a high-performing, mission-driven team
We’re looking for someone who has:
- 3+ years of engineering management experience, ideally leading infrastructure or platform teams
- Passion for building and leading high-performing teams that operate at the frontier of scale
- Deep experience with distributed systems, GPU computing, or large-scale ML infrastructure
- Direct experience building or operating large GPU clusters (1,000+ GPUs)
- Strong understanding of distributed training frameworks (e.g., PyTorch Distributed, Megatron-LM, DeepSpeed, FSDP) and job orchestration at scale
- Familiarity with GPU cluster management, high-performance networking (InfiniBand, RDMA), and resource scheduling (Slurm, Kubernetes)
- Track record of building and operating systems that run reliably at massive scale
Nice to have:
- Background in training optimization techniques such as mixed-precision training, pipeline/tensor/data parallelism, or checkpointing strategies
- Experience with inference optimization (batching, model serving, quantization, compiler-level optimizations)
- Familiarity with Physical AI domains such as autonomous driving, robotics, or simulation
- Contributions to open-source ML infrastructure projects
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.
Ready to apply?
Apply to Applied Intuition
Engineering Manager - Data Intelligence
Share this job
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
As an Engineering Manager on the Data Intelligence team, you'll lead a world-class group of engineers focused on revolutionizing how we produce, curate, and leverage high-quality data to accelerate autonomy development. Your team will work across three key areas: Data Quality, where we build systems to measure, validate, and improve the integrity of our datasets; Labeling Workflows, where we design intelligent annotation pipelines that combine human expertise with AI-powered automation; and Data Mining, where we surface rare, high-value driving scenarios from massive multi-modal fleet data. You'll drive the adoption of foundation models and cutting-edge AI techniques to scale these capabilities, setting technical direction and team goals that align with our model development, safety, and deployment milestones.
At Applied Intuition, you will:
- Grow and manage a team of world-class engineers with the goal of delivering high-quality, well-labeled data and identifying critical edge cases for autonomy
- Prioritize development across data quality systems, intelligent labeling workflows, and large-scale data mining infrastructure
- Lead the integration of foundation models (LLMs, VLMs, and multimodal models) to automate and enhance labeling, quality assurance, and data discovery
- Evolve our data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles
- Set team goals and roadmap in alignment with training, evaluation, and deployment requirements
- Partner with research, autonomy, and data infrastructure teams to ensure high-quality, relevant, and diverse data is powering our models
- Drive hiring, mentoring, and growth for a high-performing, mission-driven team
We’re looking for someone who has:
- 3+ years of engineering management experience
- Passion for building and leading high-performing teams
- Experience building data quality systems, labeling pipelines, or annotation platforms at scale
- Familiarity with modern ML infrastructure and data-centric AI approaches
- Understanding of how foundation models can be applied to automate data workflows
- Solid track record of building and deploying products
Nice to have:
- Direct experience with foundation models, including LLMs and VLMs, for data automation tasks
- Background in autonomous driving or robotics perception
- Experience with active learning, auto-labeling, or human-in-the-loop ML systems
- Familiarity with 3D perception data (camera, lidar, radar)
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.
Ready to apply?
Apply to Applied Intuition