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New Grad Software Engineer Jobs in Wheat Ridge, CO

True Anomaly

Software Engineer I, QA (New Grad)

Denver, CO · On-site

$70K - $80K/yr

YOUR MISSION We are seeking a detail-oriented Software QA Engineer to join our growing team. This role is ideal for someone early in their QA career who is passionate about ensuring product quality ...

TechNation

Software Engineer

Centennial, CO · On-site

Software Engineers document this process through the use of diagrams and flowcharts, developing ... Investigating and using new technologies where relevant * Providing written knowledge transfer ...

Everwatch

Software Engineer

Aurora, CO · On-site

$55.36 - $79.33/hr

Job Title Software Engineer Overview EverWatch is a government solutions company providing advanced ... You'll share your skills as your team utilizes new tools and techniques while helping to identify ...

Everwatch

Software Engineer

Aurora, CO · On-site

$55.36 - $79.33/hr

Responsibilities As a software engineer, you know that good software is more than just a nice ... You'll share your skills as your team utilizes new tools and techniques while helping to identify ...

Everwatch

Software Engineer

Aurora, CO · On-site

$55.36 - $79.33/hr

As a software engineer, you know that good software is more than just a nice-looking interface ... You'll share your skills as your team utilizes new tools and techniques while helping to identify ...

Everwatch

Software Engineer

Aurora, CO

$55.36 - $79.33/hr

Responsibilities As a software engineer, you know that good software is more than just a nice ... You'll share your skills as your team utilizes new tools and techniques while helping to identify ...

Everwatch

Software Engineer

Aurora, CO · On-site

$185K - $210K/yr

Job Title Software Engineer Overview EverWatch is a government solutions company providing advanced ... You'll share your skills as your team utilizes new tools and techniques while helping to identify ...

Cymertek Corporation

Software Engineer

Aurora, CO · On-site

$90 - $150/hr

Software Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... You should be comfortable working in dynamic environments, learning new tools and technologies, and ...

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All JobsNew Grad Software Engineer JobsNew Grad Software Engineer Jobs in Wheat Ridge, CO

New Grad Software Engineer information

See Wheat Ridge, CO salary details

$67.5K

$156.8K

$218.4K

How much do new grad software engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for new grad software engineer in Wheat Ridge, CO is $156,776.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,500.00 and $183,800.00 per year, depending on experience, location, and employer.

What is a new grad software engineer?

A New Grad Software Engineer job is an entry-level software engineering role designed for recent college graduates with a degree in computer science or a related field. These roles typically involve writing and testing code, debugging software, and collaborating with more experienced engineers on various projects. Companies hire new grad engineers to help them grow their skills while contributing to real-world software development. The position often includes mentorship, training, and opportunities for career advancement.

What are the key skills and qualifications needed to thrive as a new grad software engineer?

To thrive as a New Grad Software Engineer, you need a solid understanding of programming fundamentals, algorithms, and data structures, usually supported by a computer science degree or related field. Familiarity with common coding languages (such as Java, Python, or C++), version control systems like Git, and basic software development tools is typically expected. Strong problem-solving skills, eagerness to learn, teamwork, and effective communication help new engineers excel in dynamic team environments. These skills are crucial to adapting quickly, contributing to projects, and building a successful foundation in the software industry.

What typical projects or tasks might a new grad software engineer work on in their first year?

As a New Grad Software Engineer, you’ll often start by contributing to team projects through tasks like fixing bugs, writing unit tests, and developing small features under the supervision of senior engineers. You might participate in code reviews, collaborate on documentation, and learn to work with the company’s development tools and processes. Over time, as you demonstrate reliability and technical proficiency, you may be given ownership of more complex components or independent tasks. This structured approach helps you learn best practices, understand the codebase, and progressively build the confidence and experience needed for more advanced responsibilities.

What cities near Wheat Ridge, CO are hiring for New Grad Software Engineer jobs?

Cities near Wheat Ridge, CO with the most New Grad Software Engineer job openings:

New Grad Software Engineer jobs near you
Infographic showing various New Grad Software Engineer job openings in Wheat Ridge, CO as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $156,776 per year, or $75.4 per hour.

Software Engineer I, Perception (New Grad)

True Anomaly

Denver, CO • On-site

Full-time

Posted 10 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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