Application close date:
Applications will be accepted on an ongoing basis until the requisition is closed.
Blue National Security | Autonomy & Intelligent Mission Products Within the Autonomy & Intelligent Mission Products organization, this team operates at the forefront of AI-enabled products, developing next-generation products that address the most demanding and consequential challenges in the defense domain.
Special Mentions- Relocation assistance is available for this position
- Travel expectation: up to 10%
- This is an individual contributor role
- Ability to obtain a TS/SCI clearance
Job Description Why this role Turning radar returns into a confident answer about what an object is and how it behaves is still an open problem. On this team, you'll own the AI layer that takes raw radar data, finds objects of interest, and characterizes them well enough that the autonomy stack or operator can act on the result. You will be developing technology where labeled data is scarce, hardware resources are constrained, and the output matters. This is a new development program where you get to decide the model architecture.
Responsibilities include but are not limited to: - Design, train and evaluate deep learning models (GNNs, transformers, DRL, Learned Algorithm Unfolding or hybrids) that find and classify objects of interest in raw radar data as well as range-Doppler and range-angle maps.
- Build characterization models that estimate object attributes such as size, shape, motion state, track, behavior, with calibrated uncertainty.
- Represent radar data in the right form for each model, for example point or track graphs for GNNs.
- Build the data engine: synthetic data generation, simulation-based training, labeling strategy, augmentation, and handling of class imbalance.
- Detect inputs that fall outside the training data, and flag low-confidence results so downstream systems know when not to trust the model.
- Work with the Advanced Systems, DSP, GNC, and flight software teams to define how data is handed between stages and to deploy models on embedded or edge hardware.
- Define the metrics, test sets, and evidence needed to qualify ML models for deployment to the edge.
Minimum Qualifications - BS in Computer Science, Electrical Engineering, Computer Engineering, Physics, or a related field, plus about 3 years of ML engineering experience.
- A track record of building and shipping deep learning models in PyTorch (or similar).
- Edge deployment (TensorRT, quantization, FPGA or SoC targets).
- Strong Python skills
- Working knowledge of radar fundamentals: range, Doppler, angle, resolution, clutter, and multipath.
Preferred Qualifications - Familiarity with Ground Moving Target Indicator (GMTI) or Airborne Moving Target Indicator (AMTI) signal processing concepts and their implications on system design
- Experience with sensor data from radar, sonar, SAR, lidar, or RF.
- Training on synthetic or simulated data, and closing the gap between simulation and real data.
- Uncertainty quantification, calibration, or out-of-distribution detection.
- Experience with embedded C++
- Active TS/SCI
What you get in this role- Ownership from the start. You'll define the radar AI architecture on a new program.
- Work that matters. Your models will directly support national security missions in space.
- Hard problems. Very little labeled data, unknown environments, and edge deployment, which is where ML engineering is most interesting.
- Strong peers. You'll work alongside AI/ML, RF, sensing, GNC, and flight software engineers who build systems for space.
Base Pay Range for:
VA applicants is $130,706.00 - $182,987.70CO applicants is $119,814.00 - $167,738.55
Other site ranges may differBenefits- Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.
- Stock Options for all regular employees (working at least 20 hours/week)
- Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.
- Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.
Don't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
