HavocAI Logo

HavocAI

Embedded Perception Engineer

Posted 8 Days Ago
Remote
Hiring Remotely in USA
150K-185K Annually
Mid level
Remote
Hiring Remotely in USA
150K-185K Annually
Mid level
As an Embedded Perception Engineer, you'll develop perception pipelines for autonomous systems, focusing on vision model development, sensor fusion, and optimization on embedded hardware.
The summary above was generated by AI
About Us:

Collaborative autonomy is how self-tasking teams of machines will solve hard human problems, and HavocAI is an unquestioned leader in collaborative autonomy. We set the standard for autonomous surface vessels for a wide range of defense and commercial maritime missions. Success requires us to grow quickly, and we’re looking for teammates who are passionate about solving hard problems, about pushing the envelope, and about preventing conflict and saving lives. Ambition is welcome to apply within.

About the Role:

As an Embedded Perception Engineer, you will own how our autonomous systems perceive and understand the world — in real time, in operational environments, and under demanding maritime conditions.

This role goes beyond model training. You will architect, deploy, and optimize perception pipelines that run reliably on embedded edge hardware. You’ll work across vision models, sensor fusion, and high-performance inference to deliver robust situational awareness to autonomous surface vessels executing real-world missions.

If you thrive in dynamic environments, enjoy squeezing maximum performance from embedded AI systems, and want to see your work field-tested and mission-proven, this role offers immediate and meaningful impact.

Key Responsibilities and Requirements:Perception System Ownership
  • Own end-to-end perception pipelines deployed to operational systems

  • Deliver high-reliability solutions aligned with mission requirements

Vision Model Development
  • Design, train, and optimize perception models for maritime environments

  • Develop object detection, classification, and tracking systems

  • Work with large vision models (ViT, CLIP, SAM, or similar)

Sensor Fusion & Integration
  • Fuse multi-modal sensor data (camera, radar, lidar) into unified perception outputs

  • Collaborate with hardware teams to select and integrate sensors

  • Develop and validate low-level sensor drivers for high-integrity data pipelines

Embedded Deployment & Optimization
  • Deploy models using NVIDIA Triton Inference Server

  • Optimize inference for latency and throughput on edge hardware

  • Apply quantization, pruning, and other optimization techniques

Cross-Team Collaboration
  • Integrate perception outputs into autonomy stacks alongside mission software and platform teams

  • Support troubleshooting of perception performance in operational environments

Field Performance & Monitoring
  • Define metrics and evaluation frameworks to monitor deployed system health

  • Investigate perception failures and drive resolution across teams

End-User Engagement
  • Partner with operators and customers to translate field challenges into engineering solutions

Qualifications:
  • Bachelor’s or higher in Computer Science, Electrical Engineering, Robotics, Machine Learning, or related field

  • 3+ years developing and deploying computer vision or perception systems in C++ and/or Python on Linux

  • Experience with modern deep learning frameworks (PyTorch, TensorFlow)

  • Hands-on experience with large vision models (ViT, CLIP, SAM, etc.)

  • Experience implementing sensor fusion across heterogeneous modalities

  • Proficiency with NVIDIA Triton, TensorRT, ONNX Runtime, or equivalent inference tooling

  • Ability to quickly navigate and understand complex codebases

  • Strong systems-thinking mindset

  • U.S. Citizenship and eligibility for U.S. security clearance

Preferred Skills:
  • Experience deploying perception systems on embedded platforms (Jetson, FPGA, similar)

  • Familiarity with maritime or aerial sensor environments

  • Experience optimizing models for edge inference

  • Knowledge of autonomy frameworks (ROS2, MOOS-IvP)

  • Experience with safety-critical or real-time systems

  • Familiarity with military systems and defense acquisition processes

Why This Role Matters

You won’t just build models — you will build perception systems that operate in real-world, contested environments. Your work will directly influence the reliability, safety, and mission success of autonomous platforms deployed at sea.

Benefits:
  • 100% Employer paid Health, Dental and Vision Insurance for you and your families

  • Life Insurance (Employer Paid)

  • Ability to participate in the companies 401k program (Matching)

  • Unlimited PTO policy with an enforced 2 week minimum

  • Equity Package

  • Work / Home Office Stipend

  • Global Entry

  • 16 Week Paid Parental Leave

  • Monthly Health and Wellness Stipend


Our Values:
  • Innovation: We are driven to break new ground. Every day presents an opportunity to challenge the status quo, think boldly, and deliver advanced solutions that transform the future of defense technology.

  • Integrity: We hold ourselves to the highest ethical standards, ensuring transparency, accountability, and trust in all our actions and partnerships.

  • Mission-Driven: We are focused on achieving impactful outcomes that align with our core mission—protecting lives through innovation.

  • Forward-Leaning: We continuously seek out new opportunities and remain at the forefront of technological advancements. We embrace change and anticipate the challenges of tomorrow with confidence and creativity.

  • Ownership of All Tasks: At HavocAI, no problem is too complex or too trivial. We believe that greatness comes from tackling the hardest challenges, but also in handling the smallest, sometimes thankless, tasks with the same level of commitment and care.

  • Servant Leadership: We lead by serving others, whether it’s supporting our employees, partners, or the broader community. Empowering those around us is key to achieving long-term success and making a lasting impact.

HavocAI is an Equal Opportunity Employer and is committed to creating an inclusive and diverse workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, sexual orientation, age, national origin, disability, veteran status, or any other legally protected status.

Top Skills

C++
Linux
Nvidia Triton
Onnx Runtime
Python
PyTorch
TensorFlow
Tensorrt

Similar Jobs

5 Hours Ago
Remote or Hybrid
San Francisco, CA, USA
Senior level
Senior level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Responsible for managing workplace operations and employee experience across offices, overseeing facilities, vendor relationships, budgeting, and promoting workplace culture through events and initiatives.
Top Skills: AuditboardGoogle SuiteIroncladOraclePigmentSlack
5 Hours Ago
Remote or Hybrid
San Francisco, CA, USA
Expert/Leader
Expert/Leader
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
In this role, you'll develop corporate development strategy, execute M&A transactions, manage investor relationships, and support fundraising activities.
Top Skills: Data AnalysisFinancial Modeling
5 Hours Ago
Remote or Hybrid
San Francisco, CA, USA
Mid level
Mid level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
The Senior Analyst in Merchant Risk Operations executes complex risk reviews, builds systems and dashboards, and collaborates with stakeholders to streamline processes and improve operational efficiency.
Top Skills: LookerSigmaSQLTableau

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account