Design, implement, validate, and maintain onboard image-processing and computer vision algorithms for spacecraft on microcontroller-class hardware. Collaborate with avionics, flight software, GNC, test, and mission teams to define performance requirements, build test tools and simulations, debug sensor bring-up and flight operations, and ensure robustness within constrained compute, memory, timing, and power budgets.
As an Embedded Software Engineer for Image Processing Algorithms at Impulse, your primary responsibility will be to design, implement, validate, and maintain onboard image processing software for spacecraft systems. You will work at the intersection of embedded software, imaging sensors, numerical algorithms, estimation, and guidance, navigation, and control systems. You will collaborate closely with avionics, flight software, GNC, test, and mission operations teams to deliver reliable image processing software capable of operating on microcontroller-class hardware in demanding space environments.
Responsibilities
- Develop onboard computer vision algorithms for image preprocessing, thresholding, filtering, centroiding, feature extraction, target detection, target tracking, optical navigation, star detection, and attitude or pose estimation support.
- Support image conditioning techniques such as calibration, distortion correction, dark-frame correction, thresholding, exposure control, filtering, and image normalization.
- Work with GNC, flight software, and mission teams to define algorithm performance requirements, including accuracy, latency, update rate, robustness, fault tolerance, and compute/resource constraints.
- Develop test tools, simulation environments, and analysis scripts to evaluate algorithm performance using synthetic imagery, lab imagery, ground test data, and flight-like datasets.
- Debug and tune vision software during sensor bring-up, ground testing, environmental testing, and in-flight operations.
- Contribute to fault detection, robustness, and recovery logic for cases such as poor lighting, stray light, saturation, blur, dropped frames, hot pixels, occlusions, image noise, and unexpected scene content.
- Design algorithms and data pipelines that operate within constrained CPU, memory, storage, bandwidth, timing, and power budgets.
Minimum Qualifications
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related technical field.
- 2+ years of experience writing C++ code for embedded systems, preferably in imaging or robotic applications.
- Experience implementing image processing, estimation, numerical, or signal processing algorithms.
- Experience with bare-metal or RTOS-based software development.
Preferred Skills and Experience
- Ability to work closely with hardware, flight software, GNC, and test teams to diagnose issues across software, sensors, timing, image quality, and system interfaces.
- Experience optimizing software for runtime, memory usage, deterministic execution, and numerical stability.
- Familiarity with low-level hardware interfaces such as SPI, I2C, UART, GPIO, timers, ADCs, DMA, and camera or image sensor interfaces.
- Strong understanding of linear algebra, coordinate frames, rotations, quaternions, camera models, or geometric vision concepts.
- Experience debugging embedded systems using oscilloscopes, logic analyzers, hardware debuggers, source-level debuggers, logs, and telemetry.
- Hands-on experience developing or testing computer vision, optical navigation, star tracker, pose estimation, target tracking, inspection, or perception algorithms on microcontroller-class hardware.
Additional Information:
Compensation bands are determined by role, level, location, and alignment with market data. Individual level and base pay is determined on a case-by-case basis and may vary based on job-related skills, education, experience, technical capabilities and internal equity. In addition to base salary, for full-time hires, you may also be eligible for long-term incentives, in the form of stock options, and access to medical, vision & dental coverage as well as access to a 401(k) retirement plan.
Impulse Space’s spacecraft manufacturing business is subject to U.S. export regulations including the International Traffic in Arms Regulations (ITAR) and Export Administration Regulations (EAR). This position requires applicants to be either U.S. Persons (i.e., U.S. citizen, U.S. national, lawful permanent U.S. resident (green card holder), an individual granted asylum in the U.S., or an individual admitted in U.S. refugee status) or persons eligible to obtain an export license from the U.S. Departments of State, Commerce, or other applicable U.S. government agencies. Learn more about the ITAR here.
Impulse Space is an Equal Opportunity Employer; employment with Impulse Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
About
Impulse Space, the in-space transportation company founded by Tom Mueller, is opening access beyond Low Earth Orbit (LEO) with its fleet of in-space transportation vehicles. The high-energy Helios vehicle unlocks orbits beyond LEO with its powerful Deneb engine, dropping off payloads in MEO, GEO, heliocentric, lunar, and other planetary orbits. The flight-proven Mira vehicle uses a nontoxic, high-impulse chemical propulsion system to offer orbital transport, constellation deployment, and precision reentry services to customers throughout LEO. Led by a team that delivered the most reliable rockets in history, Impulse provides economical and efficient in-space transportation by reliably and rapidly getting customers where they want to go.
Impulse Space El Segundo, California, USA Office
El Segundo, CA, United States, 90245
Similar Jobs
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Serve as first point of contact, manage front desk operations and visitor access, handle inquiries and communications, schedule meetings and manage conference rooms, support mail/deliveries and supply inventory, coordinate vendors and office events, and partner with Facilities, IT, and Security while maintaining records and discretion.
Top Skills:
EnvoyGoogle WorkspaceMS Office
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Support payer operations and transformation engagements by performing research, data analytics, process improvement, and stakeholder collaboration. Assist senior staff in developing and implementing operational strategies, facilitating change management, and measuring performance to drive efficiency and client outcomes.
Aerospace • Defense
Build, assemble, integrate, and inspect mechanical structures and mechanisms for return vehicles using engineering drawings and work instructions. Support fit checks, torque and fastener installation, vehicle-level integration, test setup/teardown, maintain safe work areas, and document/flag discrepancies.
Top Skills:
BondingClean RoomComposite LayupCompositesEsd ProceduresGd&THand ToolsMachiningPrecision Measurement EquipmentTorque Tools
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering


