Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it. OUR MISSION True Anomaly delivers decisive capabilities for space superiority. We build autono…
Skills: Computer Vision, Deep Learning, Python, C++, PyTorch
Software Engineer I, Spacecraft Simulation (New Grad)
Long Beach, California, United States · Hybrid
$80k/yr
Entry level$1.1B raised
Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it. OUR MISSION True Anomaly delivers decisive capabilities for space superiority. We build autono…
Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it. OUR MISSION True Anomaly delivers decisive capabilities for space superiority. We build autono…
Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it. OUR MISSION True Anomaly delivers decisive capabilities for space superiority. We build autono…
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Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it. OUR MISSION True Anomaly delivers decisive capabilities for space superiority. We build autono…
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$80k/yr
Temporary, Full-time
bachelor degree, postgraduate degree
Posted 17d ago
~40 hrs/week
Responsibilities
You will develop hybrid perception systems for autonomous spacecraft by integrating classical computer vision with deep learning models. Responsibilities include implementing tracking algorithms, training neural networks, and deploying optimized code to edge hardware for orbital operations.
Requirements
Candidates must be pursuing or have completed a degree in computer science, engineering, or a related technical field with coursework in computer vision and estimation theory. Proficiency in Python and familiarity with C++ or machine learning frameworks are required, along with U.S. citizenship for government contract compliance.
Full job description
Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.
OUR MISSION
True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.
OUR VALUES
Be the offset.We create asymmetric advantages with creativity and ingenuity.
What would it take? We challenge assumptions to deliver ambitious results.
It’s the people. Our team is our competitive advantage and we are better together.
YOUR MISSION
You'll work on hybrid perception systems combining classical computer vision with modern deep learning for autonomous spacecraft: building multi-object tracking pipelines that fuse neural network detections with Kalman filtering, developing coordinate transformation chains from pixels to orbital frames, training models on synthetic space imagery, and deploying algorithms onboard under strict compute/power constraints. Your work enables spacecraft to detect objects against star fields, track multiple targets through occlusions, discriminate threats from decoys, and generate angle measurements for navigation — using both classical geometric methods and learned representations where each approach excels. This is entry-level work blending traditional robotics perception with modern ML. You'll implement Extended Kalman Filters, train neural networks in PyTorch, write C++ flight code, and see your algorithms operate in orbit.
This is a 3 month temporary employment engagement. There is potential to convert to regular employment based on performance and business need.
RESPONSIBILITIES
Implement classical tracking algorithms: Extended Kalman Filters for state estimation, Hungarian algorithm for data association, track management logic (tentative/confirmed/coasted tracks)
Train neural networks for detection and classification: YOLO for object detection, ResNet-based classifiers for threat discrimination, learned appearance features for re-identification
Develop image processing chains: hot pixel filtering, adaptive thresholding, centroiding, connected component analysis, star catalog matching
Deploy models to edge hardware: quantize neural networks (INT8), integrate with C++ inference engines (ONNX Runtime, TensorRT), optimize for space-qualified processors
Implement coordinate transformations: pixel → camera frame → body frame → Earth-Centered Inertial (ECI), accounting for lens distortion and attitude uncertainty
Generate synthetic training data: render spacecraft in Blender with domain randomization (lighting, attitudes, backgrounds), create labeled datasets for rare scenarios
Validate end-to-end performance: software-in-the-loop simulation, processor-in-the-loop testing, hardware-in-the-loop with real camera feeds
QUALIFICATIONS
Currently pursuing or recently completed Bachelor's or Master's degree in computer science, electrical engineering, robotics, aerospace engineering, or related technical field
Coursework in both computer vision and estimation theory (or willingness to learn both)
Proficiency in Python; some exposure to C++ (we'll teach you more)
Familiarity with either classical tracking (Kalman filters, data association) OR deep learning (PyTorch, training neural networks)
Understanding of linear algebra, probability, and coordinate transformations
Ability to read research papers from both robotics (ICRA, IROS) and ML venues (CVPR, NeurIPS) and implement algorithms
Strong debugging skills: tracking down lost tracks, numerical instability, and model failure modes
Eagerness to learn the intersection of classical perception and modern ML
U.S. Citizen (required for facility access and government contracts)
PREFERRED SKILLS AND EXPERIENCE
Experience with Extended Kalman Filters, multi-object tracking, or state estimation
Familiarity with neural network training in PyTorch or TensorFlow: object detection (YOLO, Faster R-CNN), classification, or segmentation
Understanding of coordinate frames: camera intrinsics/extrinsics, quaternions, rotation matrices, ECI/LVLH/RIC frames
Exposure to model optimization for edge deployment: quantization (INT8, FP16), ONNX, TensorRT
Experience with OpenCV, image processing pipelines, or classical feature extraction
Coursework in optimal estimation, sensor fusion, or probabilistic robotics (Kalman/particle filters)
Prior work with synthetic data generation, Blender/Unreal for rendering, or domain randomization
Understanding of data association algorithms: Hungarian algorithm, auction algorithm, JPDA
Familiarity with tracking-by-detection pipelines: detection → association → update → track management
Prior internship or project deploying algorithms to embedded systems (Jetson, mobile, ROS)
Exposure to multi-modal perception: fusing camera + IMU, camera + lidar, or learned sensor fusion
COMPENSATION
Base Salary:
Denver: $75,000
Long Beach: $80,000
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience.
ADDITIONAL REQUIREMENTS
Work Location—Successful candidates will be located near Centennial, CO or Long Beach, CA.
Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.
This position will be open until it is successfully filled. To submit your application, please follow the directions below.
#LI-Onsite
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.
Delivering decisive capabilities for space superiority.
Industry
Defense and Space Manufacturing
Company size
201-500 employees
Founded
2022
Headquarters
Englewood, Colorado
LinkedIn followers
63,003
Total funding
$1.1B
True Anomaly is the only defense technology company focused exclusively on space defense.
Founded in 2022 by ex-U.S. Space Force members, True Anomaly designs and builds advanced systems for space superiority: agile and powerful spacecraft platforms, mission software engineered for unmatched command and control, and payloads tailored for precision sensing and effects.
We are headquartered in Centennial, Colorado, with regional offices in Colorado Springs, Colorado, Long Beach, California, and Washington, D.C.
We are hiring and seeking exceptional talent to join True Anomaly, from any technical industry or background, to bring unique talents, perspective, and solutions. If you embrace complexity, demonstrate relentless ownership, have the resiliency and persistence to overcome challenges.
If you’re like us and want your work to carry purpose and shape the future of space, visit www.WhyAreYouHere.com.
Offices: 12250 E Arapahoe Rd, Englewood, Colorado 80112, US · 853 New Jersey Ave SE, Washington, District of Columbia 20003, US · 517 S Cascade Ave, Colorado Springs, Colorado 80903, US · 3833 McGowen St, Long Beach, California 90808, US
How much do Science & Research jobs in Long Beach, CA pay?
Based on 362 listings with disclosed salaries, most science & research jobs in Long Beach, CA pay between $90k–$220k per year. Individual offers vary with seniority, company size, and specialization.
How many Science & Research jobs are open in Long Beach, CA right now?
There are currently 400 open science & research positions in Long Beach, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Science & Research roles in Long Beach, CA?
Companies currently hiring include Rocket Lab, Relativity Space, Vast, True Anomaly, CSULB Economics, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Science & Research jobs in Long Beach, CA?
Yes — 37 of the 400 open science & research positions offer remote or hybrid work (10 remote, 27 hybrid).
How do I apply for Science & Research jobs in Long Beach, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.