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Entry Level Software Tester Jobs in Colorado (NOW HIRING)

Test Engineer

Greenwood Village, CO · On-site

$25 - $30/hr

On-site 5 days/week in Greenwood Village, CO Our client seeks an entry-level Test Engineer to ... Validate software fixes through regression testing and confirm resolution without regressions.

IT Assurance Analyst

Colorado Springs, CO · On-site

$103K - $120K/yr

... testing gaps. * Investigate and collaborate on the resolution of software defects/quality issues ... Ability to interface with all levels (executive to entry level). * Proficiency with Word, Excel ...

New

... testing gaps. * Investigate and collaborate on the resolution of software defects/quality issues ... Ability to interface with all levels (executive to entry level). * Proficiency with Word, Excel ...

New

Data Engineer I

Denver, CO · On-site

$80 - $115/hr

Apply software engineering practices including Git, testing, and CI/CD * Leverage AI-assisted ... This is a hands-on entry-level data engineering role. The successful candidate should be ...

New

Showing results 21-40

Entry Level Software Tester information

See Colorado salary details

$20

$45

$73

How much do entry level software tester jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for entry level software tester in Colorado is $45.75, according to ZipRecruiter salary data. Most workers in this role earn between $35.14 and $55.10 per hour, depending on experience, location, and employer.

What does an entry level software tester do?

An entry level software tester is responsible for evaluating software applications to ensure they work as intended and meet quality standards. This typically involves executing test cases, reporting bugs, and working closely with developers to resolve issues. Entry level testers may also help write simple test scripts and document their findings. Their main goal is to help deliver reliable, user-friendly software products.

What are the key skills and qualifications needed to thrive as an entry level software tester, and why are they important?

To thrive as an Entry Level Software Tester, you need a basic understanding of software development principles, attention to detail, and familiarity with testing methodologies, often supported by a relevant degree or coursework. Experience with test management tools (like Jira or TestRail), bug tracking systems, and a grasp of scripting languages or automation tools are typically expected. Strong analytical thinking, effective communication, and a collaborative mindset help testers identify issues and work efficiently within a team. These skills ensure high-quality software releases by systematically detecting and reporting defects throughout the development cycle.

What are some common challenges faced by entry level software testers, and how can they overcome them?

Entry level software testers often encounter challenges such as understanding complex software systems, identifying subtle bugs, and effectively communicating issues to development teams. To overcome these, it's helpful to ask clarifying questions, thoroughly review documentation, and practice using testing tools. Building strong relationships with developers and other QA team members can also make it easier to resolve issues and learn best practices. Embracing continuous learning and seeking feedback can accelerate your growth in the role.

What are the most commonly searched types of Software Tester jobs in Colorado?

The most popular types of Software Tester jobs in Colorado are:

What are popular job titles related to Entry Level Software Tester jobs in Colorado?

For Entry Level Software Tester jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Entry Level Software Tester jobs in Colorado look for?

The top searched job categories for Entry Level Software Tester jobs in Colorado are:

What cities in Colorado are hiring for Entry Level Software Tester jobs?

Cities in Colorado with the most Entry Level Software Tester job openings:

Infographic showing various Entry Level Software Tester job openings in Colorado as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $95,152 per year, or $45.7 per hour.

Software Engineer I, Perception (New Grad)

Socket.dev

Denver, CO • On-site

$75 - $80/hr

Other

Posted 5 days ago


Key responsibilities

  • Implement classical tracking algorithms such as Extended Kalman Filters, data association with the Hungarian algorithm, and track management logic.

  • Train neural networks for detection and classification tasks, including object detection with YOLO and threat discrimination with ResNet-based classifiers.

  • Build and deploy hybrid perception pipelines that fuse neural network detections with classical tracking, perform coordinate transformations, and generate measurements for navigation.


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.

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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