Top 211 Algorithm engineer Jobs in Boulder Co

Algorithm Engineer
Vantor Inc. —Westminster, CO
- $102,000 - $149,600 a year
- Full-time
- Computer Science
- System design
- Mid-level
- 401(k) matching
- Pet insurance
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5d
Full-Stack Weather Software Engineer
Spire —Boulder, CO
- $130,500 - $171,000 a year
- Background check
- Office
- Product management
- Employee stock purchase plan
- Family leave
2026 Early Career Software Engineer
Anduril Industries —Broomfield, CO
- $115,000 - $135,000 a year
- Email
- Computer Science
- Java
- Master's degree
Algorithm Engineer, Battlespace Awareness
Anduril Industries —Broomfield, CO
- $126,000 - $167,000 a year
- Email
- Computer science
- Computer Science
- System design
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TAK/ATAK Software Engineer
Dark Wolf Ventuers —Frederick, CO
- $80,000 - $100,000 a year
- Full-time
- Background check
- Computer science
- Computer Science
- Health insurance
- Dental insurance
Quick Apply
14d
Staff / Sr Staff DevSecOps Engineer
SciTec —Boulder, CO
- $98,000 - $146,000 a year
- Computer Science
- Mid-level
- Analysis skills
- Profit sharing
- Paid parental leave
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Staff / Sr Staff C++ Software Engineer
SciTec —Boulder, CO
- $102,000 - $157,000 a year
- Full-time
- Computer Science
- Office
- 3 years
- Profit sharing
- Paid parental leave
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Staff /Senior Staff Rust Software Engineer
SciTec —Boulder, CO
- $102,000 - $157,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
- Profit sharing
- Paid parental leave
Quick Apply
Senior Staff / Senior Machine Learning Engineer
SciTec —Boulder, CO
- $127,000 - $193,000 a year
- Computer Science
- Office
- 3 years
- Profit sharing
- Paid parental leave
Quick Apply
Senior Staff / Senior Network Engineer
SciTec —Boulder, CO
- $145,000 - $204,000 a year
- Azure
- 6 years
- Windows
- Profit sharing
- Paid parental leave
Quick Apply
Staff Firmware Engineer
Particle Measuring Systems —Niwot, CO
- $150,000 - $165,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Bachelor of Science
- Health insurance
- Dental insurance
Senior Production Systems Engineer
bp —Denver, CO
- $165,000 - $194,000 a year
- Full-time
- Computer science
- 7 years
- Azure
- Health insurance
- Dental insurance
12d
Guidance, Navigation, & Controls (GNC) Engineer
Impulse Space —Boulder, CO
- $125,000 - $155,000 a year
- Full-time
- Engineering
- Mid-level
- Analysis skills
- Health insurance
- Dental insurance
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Navigation Engineer III
IDR Inc. —Westminster, CO
- $115,500 - $148,400 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- Organizational skills
- Health insurance
- Dental insurance
Quick Apply
Senior Algorithm Engineer
Vantor Inc. —Westminster, CO
- $124,000 - $181,500 a year
- Full-time
- Computer Science
- 5 years
- System design
- 401(k) matching
- Pet insurance
Quick Apply
Engineer II - FPGA Verification
BAE Systems Inc. —Westminster, CO
- $79,365 - $134,921 a year
- Full-time
- Hybrid work
- Military
- Bachelor of Science
- Mid-level
- Health savings account
- Paid holidays
Test Engineer, Camera and Sensing
Snapchat —Boulder, CO
- $133,000 - $235,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Software troubleshooting
- Paid parental leave
- Health insurance
Software Performance Analysis Engineer - Level 2 or 3
Northrop Grumman —Boulder, CO
- $91,800 - $171,000 a year
- Overtime
- Mid-level
- Master's degree
- Analysis skills
- Paid holidays
- Disability insurance
13d
Staff GNC Analysis Engineer
Ursa Major —Berthoud, CO
- $135,000 - $170,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- Data analysis skills
- Paid parental leave
- Health savings account
Quick Apply
Full-Stack Weather Software Engineer
Spire Global —Boulder, CO
- $130,500 - $171,000 a year
- Background check
- Office
- Product management
- Employee stock purchase plan
- Disability insurance

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algorithm engineer jobs near boulder co

Algorithm Engineer

Vantor Inc. -
Westminster, CO

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Job Details

Full-time
$102,000 - $149,600 a year
5 days ago

Benefits

401(k) matching
Loan assistance
Pet insurance

Qualifications

AI models
Statistics
Image processing
Statistics
Statistical analysis
Machine intelligence
Math
Bachelor's degree
Statistical modeling
Algorithm design research
Developer tools
Sensors
Cross-functional communication

Full Job Description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

Vantor is seeking an Algorithm Engineer to help develop next-generation solutions in computer vision, geospatial analytics, and photogrammetry. This role requires a strong mathematical and statistical foundation, sensor model expertise, and experience developing image processing algorithms. The ideal candidate will contribute to solving challenging problems involving imagery, spatial data, sensor modeling, and AI-enabled workflows while collaborating with multidisciplinary engineering teams.

Key Responsibilities

Design, develop, and optimize image processing algorithms.
Apply mathematical and statistical techniques to solve engineering problems.
Research, prototype, and implement solutions leveraging machine learning and computer vision technologies.
Collaborate with software engineers, geospatial specialists, and product teams to develop scalable solutions.
Analyze large datasets and imagery to improve system accuracy and performance.
Participate in system design, code reviews, and technical discussions.
Contribute to the development and refinement of AI-enabled workflows and engineering practices.
Support the validation and testing of algorithms to ensure accuracy, robustness, and performance.

Required Qualifications

Bachelor's degree in Computer Science, Computer Engineering, Applied Mathematics, Statistics, Physics, Remote Sensing, Geospatial Sciences, or a related technical field.
2–5 years of relevant industry or research experience.
Experience working with or supporting sensor models.
Strong statistical background, including experience applying statistical methods to engineering problems.
Strong mathematical foundation with the ability to apply quantitative methods to technical challenges.
Experience designing, implementing, and validating algorithms.
Experience with multivariable and physical statistical models.
Familiarity with AI-assisted software development tools and AI agents used in engineering workflows.
Flexible and willing to transition easily between tasks that may vary in scope and technical focus.
Excellent analytical, problem-solving, and debugging skills.
Strong written and verbal communication skills with the ability to work effectively on multidisciplinary teams.

Preferred Qualifications

Master's degree in Computer Science, Computer Engineering, Statistics, Applied Mathematics, Physics, Remote Sensing, Geospatial Sciences, or a related technical field.
Experience with geospatial, photogrammetric, or remote sensing applications.
Experience with machine learning frameworks and modern AI technologies.
Experience transitioning research concepts into production software systems.
Experience working with AWS cloud services.
Experience with Kubernetes and containerized application environments.

Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role.

The base pay for this position within Colorado is: $102,000.00 - $136,000.00 - $149,600.00 annually.

For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers

Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions.

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

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Key Responsibilities

Design, develop, and optimize image processing algorithms.

Apply mathematical and statistical techniques to solve engineering problems.

Research, prototype, and implement solutions leveraging machine learning and computer vision technologies.

Collaborate with software engineers, geospatial specialists, and product teams to develop scalable solutions.

Analyze large datasets and imagery to improve system accuracy and performance.

Participate in system design, code reviews, and technical discussions.

Contribute to the development and refinement of AI-enabled workflows and engineering practices.

Support the validation and testing of algorithms to ensure accuracy, robustness, and performance.

Required Qualifications

Bachelor's degree in Computer Science, Computer Engineering, Applied Mathematics, Statistics, Physics, Remote Sensing, Geospatial Sciences, or a related technical field.

2–5 years of relevant industry or research experience.

Experience working with or supporting sensor models.

Strong statistical background, including experience applying statistical methods to engineering problems.

Strong mathematical foundation with the ability to apply quantitative methods to technical challenges.

Experience designing, implementing, and validating algorithms.

Experience with multivariable and physical statistical models.

Familiarity with AI-assisted software development tools and AI agents used in engineering workflows.

Flexible and willing to transition easily between tasks that may vary in scope and technical focus.

Excellent analytical, problem-solving, and debugging skills.

Strong written and verbal communication skills with the ability to work effectively on multidisciplinary teams.

Preferred Qualifications

Master's degree in Computer Science, Computer Engineering, Statistics, Applied Mathematics, Physics, Remote Sensing, Geospatial Sciences, or a related technical field.

Experience with geospatial, photogrammetric, or remote sensing applications.

Experience with machine learning frameworks and modern AI technologies.

Experience transitioning research concepts into production software systems.

Experience working with AWS cloud services.

Experience with Kubernetes and containerized application environments.