Engineering Manager, Perception and Machine Learning in New York at Jobgether

• Lead, manage, mentor, and develop a team of perception, machine learning, sensor fusion, and software engineers.
• Own team planning, prioritization, execution, and delivery against the Perception and Machine Learning roadmap.
• Establish clear goals, responsibilities, expectations, and accountability across the engineering team.
• Partner with senior technical contributors to guide architecture and technical decisions across computer vision, sensor fusion, tracking, detection, classification, segmentation, and related capabilities.
• Oversee the development and maturation of model training, evaluation, data curation, validation, and deployment workflows.
• Ensure perception systems are designed for real-world performance, reliability, compute constraints, and field readiness.
• Translate customer, mission, and product requirements into clear engineering priorities, roadmaps, and execution plans.
• Partner cross-functionally with Autonomy, Embedded, Data, Simulation, Hardware, Product, Programs, and Field Operations teams.
• Use field data, testing results, and operator feedback to identify performance gaps and prioritize technical improvements.
• Establish strong engineering practices around design reviews, code reviews, testing, model evaluation, release readiness, and technical documentation.
• Identify execution risks, dependencies, resource constraints, and technical tradeoffs, communicating them clearly to engineering leadership and stakeholders.
• Balance technical performance, delivery timelines, resources, risk, and product requirements when making engineering decisions.
• Coach engineers through regular feedback, performance management, career development, and technical mentorship.
• Recruit, interview, onboard, and retain high-performing engineering talent as the organization grows.
• Foster a culture of technical excellence, ownership, collaboration, innovation, 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 disciplines.
• 2+ years of direct people-management experience, ideally leading engineers in a highly technical environment.
• Strong technical understanding of modern perception systems, including computer vision, sensor fusion, tracking, detection, classification, and ML-based scene understanding.
• Experience taking machine learning 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 experience working with software, autonomy, data, hardware, product, and field teams.
• Ability to make sound decisions across technical performance, schedules, resources, risks, and product requirements.
• Excellent communication skills, with the ability to explain complex technical issues and tradeoffs to both technical and non-technical stakeholders.
• High ownership, sound judgment, and the ability to operate effectively in fast-moving and ambiguous environments.
• U.S. citizenship and the ability to obtain and maintain a security clearance.
• Advanced degree in a relevant technical discipline is preferred.
• Previous management experience within Perception, ML, Robotics, or Autonomy teams is preferred.
• Experience with robotics, autonomous vehicles, defense technology, aerospace, maritime systems, or other deployed autonomous systems is a plus.
• Familiarity with multimodal sensor systems such as cameras, EO/IR, radar, LiDAR, AIS, GPS/INS, or IMU is preferred.
• Experience with technologies such as PyTorch, TensorRT, ONNX, CUDA, MLflow, Docker, Kubernetes, NVIDIA Jetson, or similar ML and deployment platforms is advantageous.
• Experience with simulation, synthetic data, annotation workflows, and large-scale perception datasets is a plus.
• Experience supporting field testing, customer demonstrations, operational evaluations, or deployed robotic systems is preferred.
• Government or DoD program experience and an active or prior security clearance are advantageous.

Benefits:

• $200,000–$225,000 annual salary.
• Equity package.
• Bonus opportunity.
• 100% employer-paid health, dental, and vision insurance for employees and families.
• Employer-paid life insurance.
• 401(k) program with company matching.
• Unlimited PTO with a two-week minimum.
• Work-from-home and home office stipend.
• 16 weeks of paid parental leave.
• Monthly health and wellness stipend.
• Global Entry benefit.
• Opportunity to lead a highly technical engineering organization working on advanced autonomous systems.
• Collaborative, mission-driven environment focused on innovation, integrity, ownership, and continuous improvement.