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Full Time Neural Network Engineer Jobs (NOW HIRING)

The JAAW Group

Network Engineer

UT · On-site

Employment Type: Full-Time. About the Role The JAAW Group LLC, a Service-Disabled Veteran-Owned Small Business (SDVOSB), is seeking a Network Engineer to support secure, mission-critical network ...

City of Kirkland, WA

Network Engineer

Kirkland, WA · On-site

$125K - $147K/yr

City Hall - 123 5th Ave, Kirkland, WA Job Type: Full-Time Job Number: 202100819 Location ... The Network Engineer is responsible for the architecture, design, analysis, function, fitness for ...

CACI

Network Engineer

High Point, NC · On-site

Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 75% Type of Travel: Continental US * * * Empower ...

Baptistfirst

The Network Engineer shall be responsible to design, install, and maintenance of network systems ... Regular-Full time Shift : First Shift (United States of America)

CACI International, Inc.

Network Engineer

Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 75% Type of Travel: Continental US * * * Empower ...

JFL Consulting LLC

Network Engineer

Annapolis, MD · On-site

$70K - $90K/yr

This is a full-time, exempt position. The Network Engineer is responsible for maintaining Cisco & Aruba based network and infrastructure. This includes wired, wireless, storage, and communications ...

JFL Consulting LLC

Network Engineer

Annapolis, MD

$70K - $90K/yr

This is a full-time, exempt position. The Network Engineer is responsible for maintaining Cisco & Aruba based network and infrastructure. This includes wired, wireless, storage, and communications ...

Qualified Staffing

Network Engineer

Dalton, GA

$25.60 - $44.60/hr

We are seeking an experienced Network Engineer for a full-time, onsite opportunity in the Dalton area. This position is ideal for a networking professional who enjoys solving complex technical ...

VTG

Network Engineer

Herndon, VA

Overview We are seeking a talented and experienced Network Engineer with a specialized focus on ... UNAVAILABLEEmployment Type: FULL_TIME

Saalex Corporation

Network Engineer

Corona, CA · Hybrid

$85K - $109K/yr

Description Saalex is seeking a Network Engineer in Corona, CA. Saalex is an Engineering and ... Position Type: Full-Time Salary: $85K-$109K (depending on experience) Work Location: Hybrid remote ...

Saalex

Network Engineer

Corona, CA · On-site

$85K - $109K/yr

Saalex is seeking a Network Engineer in Corona, CA. Saalex is an Engineering and Information ... Position Type: Full-Time Salary: $85K-$109K (depending on experience) Work Location: Hybrid remote ...

TMC Technologies

Network Engineer

Albuquerque, NM · On-site

Job Title Network Engineer Location Albuquerque, NM 87123 US (Primary) Category Engineering, Information Technology Job Type Full-time Career Level Staff Education High School / GED Travel Security ...

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Full Time Neural Network Engineer information

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How much do full time neural network engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for full time neural network engineer in the United States is $109,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $133,500.00 per year, depending on experience, location, and employer.

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Full Time Neural Network Engineer jobs near you

Software Engineer I, Perception (New Grad)

Denver, CO • On-site

True Anomaly
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about True Anomalyexternal

Full-time

Posted 17 days ago

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
  • Build hybrid perception pipelines: neural network detections → classical tracking → coordinate transformations → angle-only measurements for navigation
  • 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
  • Experience debugging visual systems: false positives, missed detections, track ID switches, covariance tuning
  • 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.

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