ZipRecruiter

Log In

1

New Grad Software Jobs in Erie, CO (NOW HIRING)

CRB

Process Engineer I - New Grad

Denver, CO

Familiarity with engineering software applications, including process modeling, design, and calculation tools. Additional Information All your information will be kept confidential according to EEO ...

CRB

Process Engineer I - New Grad

Denver, CO · On-site

Familiarity with engineering software applications, including process modeling, design, and calculation tools. Additional Information All your information will be kept confidential according to EEO ...

CRB

Process Engineer I - New Grad

Denver, CO · On-site

Familiarity with engineering software applications, including process modeling, design, and calculation tools. Additional Information All your information will be kept confidential according to EEO ...

True Anomaly

DevOps Engineer I (New Grad)

Denver, CO · On-site

$75K - $80K/yr

YOUR MISSION Software is the foundation of True Anomaly's innovation. As a DevOps Engineer I, you will support our engineering teams by learning and assisting with the deployment, monitoring, and ...

Socket.dev

DevOps Engineer I (New Grad)

Denver, CO · On-site

$75 - $80/hr

YOUR MISSION Software is the foundation of True Anomaly's innovation. As a DevOps Engineer I, you will support our engineering teams by learning and assisting with the deployment, monitoring, and ...

next page

Showing results 1-20

All JobsNew Grad Software JobsNew Grad Software Jobs in Erie, CO

New Grad Software information

See Erie, CO salary details

$39.4K

$92.3K

$180K

How much do new grad software jobs pay per year?

As of Sep 6, 2026, the average yearly pay for new grad software in Erie, CO is $92,332.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $109,700.00 per year, depending on experience, location, and employer.

What is a new grad software engineer?

New Grad Software roles are entry-level positions in the technology industry designed specifically for recent graduates with degrees in computer science, software engineering, or related fields. These positions offer opportunities to learn and grow within a professional environment, often featuring mentorship, training programs, and exposure to various aspects of software development. New grads in these roles typically work on real-world projects, collaborate with experienced engineers, and build foundational skills necessary for a successful tech career. Employers expect strong problem-solving abilities, familiarity with programming languages, and a willingness to learn.

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

To thrive as a New Grad Software Engineer, you need a solid grasp of computer science fundamentals, programming languages (such as Java, Python, or C++), and a relevant degree like a BS in Computer Science or related field. Familiarity with version control systems (e.g., Git), software development tools, and exposure to frameworks or cloud platforms are highly valued. Strong problem-solving skills, eagerness to learn, and effective communication help new grads collaborate and adapt in team environments. These skills are crucial for quickly contributing to projects, growing professionally, and ensuring code quality within dynamic tech teams.

What types of projects can a new grad software engineer expect to work on in their first year?

As a New Grad Software Engineer, you can expect to work on a variety of projects ranging from bug fixes and feature enhancements to participating in the development of new products or internal tools. Early assignments often focus on onboarding and familiarizing you with the codebase, tools, and development practices, while gradually increasing in complexity as you gain confidence. Collaboration with more experienced engineers, product managers, and quality assurance teams is common, providing opportunities to learn best practices and contribute to team goals. Many companies also encourage new grads to participate in code reviews and team meetings, helping you build both technical and communication skills.

What is the difference between New Grad Software vs Software Engineer?

AspectNew Grad SoftwareSoftware Engineer
Required CredentialsBachelor's degree in CS or related field, internship experienceTypically requires similar credentials, often with more experience
Work EnvironmentEntry-level, training-focused, collaborative teamsMore autonomous, project leadership opportunities
Employer & Industry UsageCommonly used for entry-level roles across tech companiesUsed for mid-level and senior roles, but also for entry-level positions

In summary, New Grad Software roles are designed for recent graduates entering the tech industry, focusing on training and skill development. Software Engineer positions may require more experience but often share similar credentials. The main difference lies in experience level and scope of responsibilities, with New Grad Software roles serving as a stepping stone to more advanced Software Engineer positions.

Does Microsoft hire new grads?

Yes, Microsoft hires new graduates for software engineering and related roles. They often recruit through university programs, internships, and entry-level positions that require strong coding skills and knowledge of programming languages like C++, C#, or Python.

What job categories do people searching New Grad Software jobs in Erie, CO look for?

The top searched job categories for New Grad Software jobs in Erie, CO are:

What cities near Erie, CO are hiring for New Grad Software jobs?

Cities near Erie, CO with the most New Grad Software job openings:

New Grad Software jobs near you

Software Engineer I, Perception (New Grad)

True Anomaly

Denver, CO • On-site

Full-time

Posted 12 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.

Apply