Perception Engineer

Fortastra Corporation

• $120K — $170K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • B.S. in Computer Science, Engineering, Robotics, or related field; M.S. with relevant experience considered.
  • 2-3 years of industry experience in robotics, perception, or autonomy; exceptional internships accepted.
  • Experience with computer vision and machine learning, especially in object detection/tracking.
  • Proficient in Python and C++ software development.
  • Familiar with Linux (Ubuntu) environments for software deployment.
  • Experience with simulation tools like ROS and related robotics frameworks.
  • Understanding of failure modes in complex systems, particularly in safety-critical applications.

Responsibilities

  • Develop algorithms for object detection and tracking in space using computer vision and machine learning.
  • Design software for multi-agent spacecraft scenarios, leveraging knowledge from UAVs and ADAS.
  • Implement perception software pipelines focusing on data from camera systems and other sensors.
  • Manage datasets for training and testing perception models effectively.
  • Integrate algorithms into simulation environments and ROS for testing autonomy.
  • Write software in Python and C++ for Linux targeting flight integration.
  • Collaborate with teams to define data interfaces and perception requirements.
  • Contribute to software architecture for detecting and tracking in space, including edge cases.

Benefits

  • Unlimited Paid Time Off for rest and recharge.
  • Comprehensive medical, dental, and vision coverage for employees and dependents.
  • Equity options allowing employees to share in company success.
  • 401(k) plan to support future financial stability.
  • Regular social events and team outings to enhance company culture.
Full Job Description
The Role

Fortastra is seeking an Perception Engineer. You will focus on the tactical execution of our autonomous spacecraft by developing computer vision and machine learning algorithms that enable spacecraft to detect, classify, and track objects in space as part of a multi-agent, coordinated vehicle ecosystem. You'll work closely with GNC and Flight Software engineers to turn raw sensor data into reliable, real-time perception for onboard autonomy.

Key Responsibilities
  • Develop computer vision and machine learning algorithms for object detection, classification, and tracking in the space environment.
  • Design and implement perception software for multi-agent spacecraft scenarios, drawing on paradigms from UAVs, drones, and advanced driver assistance systems.
  • Build perception pipelines and software stacks that process data from onboard sensors, with emphasis on camera-based systems and awareness of other sensing modalities.
  • Curate, generate, and manage datasets for training, validation, and testing of perception models.
  • Integrate perception algorithms into Fortastra's proprietary simulation environment and ROS-based toolchains for end-to-end autonomy testing.
  • Implement perception software in Python and C++, targeting Linux (Ubuntu) environments and eventual flight software integration.
  • Collaborate with autonomy, GNC, and flight software teams to define interfaces, data products, and performance requirements for perception outputs.
  • Contribute to the design of software architectures for detecting and tracking objects in space, including reasoning about edge cases and failure modes.

Qualifications & Skills
  • B.S. Computer Science, Computer Engineering, Electrical Engineering, Aerospace, Robotics, or other sciences and/or physics-based degree (M.S. with 1+ year of relevant experience also considered).
  • 2-3 years of industry experience in robotics, perception, autonomy, or related fields (not including internships; exceptional internship experience considered).
  • Experience with computer vision and machine learning for perception, including object detection and/or tracking.
  • Proficiency in software development with Python and C++.
  • Familiarity with Linux (Ubuntu) development environments.
  • Experience with simulation tools such as ROS or similar robotics frameworks.
  • Background in robotics, vehicle navigation, or autonomous systems.
  • Understanding of safety-critical or failure modes for complex systems (spacecraft, automotive, aviation, industrial, or robotics).
  • Exposure to active safety systems, ADAS, or other perception-heavy, safety-critical applications is a plus.
  • Comfort using modern agentic AI tools (e.g., Claude) in the development workflow.
  • Ability to work independently and in small, fast-moving teams.
  • Work is on-site, remote or hybrid arrangements will not be considered.
  • U.S. Citizenship and ability to obtain or have an active TS/SCI clearance (US Person considered).


Benefits

We take care of our employees so they can focus on what matters most: family, well-being, and life outside of work.

Unlimited Paid Time Off so that you have the time you need to rest and recharge.

Comprehensive Healthcare: Medical, dental, and vision coverage for you and your dependents, because peace of mind starts with feeling cared for.

Equity: Share in Fortastra's success with equity in the company you're helping build.

401(k): A 401(k) plan to help you invest in your future and plan for what's ahead.

Social Events: Regular social events, team outings, and company-sponsored activities that make this a place people are glad to be part of.

The pay range for this role is $120,000.00 - $170,000.00. Where an offer falls within that range depends on factors like your qualifications, experience, location, and interview performance, which we weigh against the market rate for the position.

Recruiters & Agencies: Fortastra does not accept unsolicited resumes or candidate submissions from recruiters, agencies, or third parties. Any candidate submitted without a signed agreement and prior written authorization from Fortastra will not be subject to any fee, and no relationship is implied. Please do not contact Fortastra employees, hiring managers, or recruiting team directly.

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