Engineering Manager, Perception and Machine Learning

Job not on LinkedIn

🔥 7 minutes ago

⚓ Rhode Island – Remote

⚓ Rhode Island – Remote

💵 $200k - $225k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♀️ Software Engineering Manager

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

HavocAI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

📦 Logistics

🏭 Manufacturing

🎖️ Defense

💰 Seed Round on 2024-09

Logistics • Manufacturing • Defense

HavocAI is a developer of collaborative autonomy for maritime operations, offering a modular software and vehicle stack that enables fleets of autonomous maritime systems to perform contested logistics, sensor fusion and tracking, domain awareness, and escort-and-engage missions. Their product suite includes onboard autonomy (HAVOC OS), scalable communications (HAVOC CLOUD), and a handheld operator interface (HAVOC CONTROL), marketed as a single solution for theater-scaled security and rapid deployment. HavocAI emphasizes real-time, team-led autonomous solutions that run across diverse environments and supports both hardware (autonomous vessels) and software deployment.

📋 Description

• Lead, manage, and develop a team of perception, machine learning, sensor fusion, and software engineers. • Own team planning, prioritization, execution, and delivery against the Perception & ML roadmap. • Establish clear goals, responsibilities, and expectations and hold engineers accountable for results. • Guide architecture and technical decisions across computer vision, sensor fusion, tracking, detection, classification, segmentation, and related capabilities. • Oversee model training, evaluation, data curation, validation, and deployment workflows. • Ensure perception capabilities meet real-world performance, reliability, compute, and field-readiness requirements. • Partner cross-functionally with Autonomy, Embedded, Data, Simulation, Hardware, Product, Programs, and Field Operations. • Translate customer, mission, and product requirements into engineering priorities and execution plans. • Use field data, testing results, and operator feedback to prioritize improvements and address performance gaps. • Establish practices for design reviews, code reviews, testing, model evaluation, release readiness, and technical documentation. • Identify and communicate execution risks, dependencies, resource constraints, and technical tradeoffs. • Coach and develop engineers through feedback, performance management, career development, and mentorship. • Recruit, interview, onboard, and retain high-performing engineers. • Foster technical excellence, ownership, collaboration, and continuous improvement.

🎯 Requirements

• Bachelor’s degree in Computer Science, Machine Learning, Robotics, Electrical Engineering, Computer Engineering, or a related technical field. • 7+ years of relevant engineering experience in perception, machine learning, computer vision, robotics, autonomy, sensor fusion, or related fields. • 2+ years of direct people-management experience, ideally managing engineers in a highly technical environment. • Strong technical understanding of modern perception systems, including computer vision, sensor fusion, tracking, detection, classification, or ML-based scene understanding. • Experience taking ML or perception capabilities from development through testing and deployment in real-world systems. • Demonstrated ability to manage engineering priorities, technical roadmaps, dependencies, and delivery across multiple initiatives. • Experience hiring, coaching, developing, and evaluating engineering talent. • Strong cross-functional leadership skills and experience partnering with software, autonomy, data, hardware, product, and field teams. • Ability to make sound decisions across technical performance, schedule, resources, risk, and product requirements. • Strong communication skills with the ability to communicate technical issues and tradeoffs to both technical and non-technical stakeholders. • High ownership, sound judgment, and comfort operating in fast-moving, ambiguous environments. • U.S. citizenship and ability to obtain and maintain a security clearance. • Preferred: Advanced degree in Computer Science, Machine Learning, Robotics, Electrical Engineering, Computer Vision, or a related field. • Preferred: Previous experience managing a Perception, ML, Robotics, or Autonomy engineering team. • Preferred: Experience with robotics, autonomous vehicles, defense technology, aerospace, maritime systems, or other deployed autonomous systems. • Preferred: Experience with multimodal sensor systems including cameras, EO/IR, radar, LiDAR, AIS, GPS/INS, or IMU. • Preferred: Familiarity with PyTorch, TensorRT, ONNX, CUDA, MLflow, Docker, Kubernetes, NVIDIA Jetson, or similar ML and deployment technologies. • Preferred: Experience with simulation, synthetic data, annotation workflows, and large-scale perception datasets. • Preferred: Experience supporting field testing, customer demonstrations, operational evaluations, or deployed robotic systems. • Preferred: Experience supporting government or DoD programs. • Preferred: Active or prior security clearance.

🏖️ 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 • Offers Bonus