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Algorithm Engineer Jobs in Colorado (NOW HIRING)

Senior C++ Software Engineer

Boulder, CO ยท On-site

$156K - $193K/yr

This role focuses on hands-on algorithm development and optimization within a large, production C ... Collaborate with algorithm developers, systems engineers, and integration teams * Work effectively ...

This role focuses on hands-on algorithm development and optimization within a large, production C ... Collaborate with algorithm developers, systems engineers, and integration teams * Work effectively ...

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Algorithm Engineer information

See Colorado salary details

$62.6K

$117.4K

$213.5K

How much do algorithm engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for algorithm engineer in Colorado is $117,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,600.00 and $139,300.00 per year, depending on experience, location, and employer.

What are the typical challenges an Algorithm Engineer faces in their day-to-day work?

Algorithm Engineers often encounter complex problems that require creative, efficient solutions within strict performance or resource constraints. They may need to optimize existing algorithms, develop new ones from scratch, and ensure seamless integration into larger software systems, often while balancing accuracy, speed, and scalability. Collaborating with other engineers, data scientists, and product teams to align technical efforts with business goals is also a regular part of the job. Staying updated with the latest advancements in algorithms and technology is essential, making continuous learning a key aspect of the role.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and stock options. These roles often require expertise in programming, algorithms, and sometimes leadership responsibilities in tech companies or startups.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and optimize AI models, but AI technology currently complements rather than replaces their role. MLEs are essential for building, deploying, and maintaining complex AI systems, and their expertise in data handling, model tuning, and system integration remains critical as AI advances. Continuous learning and familiarity with tools like TensorFlow or PyTorch are important for MLEs to stay relevant in evolving AI environments.

What does an algorithm engineer do?

An algorithm engineer designs, develops, and optimizes algorithms to solve complex problems and improve system performance. They often work with data structures, programming languages, and tools like Python or C++, and may test algorithms in simulation or real-world environments to ensure efficiency and accuracy.

What does an Algorithm Engineer do?

An Algorithm Engineer designs, develops, and optimizes algorithms to solve complex computational problems. They analyze data, improve system performance, and implement mathematical models for various applications, such as machine learning, computer vision, and optimization. This role requires proficiency in programming languages like Python or C++, strong mathematical skills, and an understanding of data structures and algorithms. Algorithm Engineers work closely with software developers, data scientists, and researchers to integrate efficient solutions into real-world systems.

What are the key skills and qualifications needed to thrive in the Algorithm Engineer position, and why are they important?

To thrive as an Algorithm Engineer, you need a strong background in mathematics, computer science, and programming, usually demonstrated with a degree in these fields and experience in algorithm design and analysis. Familiarity with languages like Python, C++, or Java, and tools such as MATLAB or TensorFlow, as well as relevant certifications like those in data science or machine learning, are typically advantageous. Outstanding problem-solving abilities, analytical thinking, and effective communication are critical soft skills for success in this role. These competencies are crucial because they enable Algorithm Engineers to design efficient, innovative solutions and collaborate seamlessly with multidisciplinary teams.

What engineers make $300,000 a year?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or startups. Compensation often includes base salary, bonuses, and stock options, and requires strong technical expertise and certifications in relevant tools and programming languages.
What are the most commonly searched types of Algorithm Engineer jobs in Colorado? The most popular types of Algorithm Engineer jobs in Colorado are:
What are popular job titles related to Algorithm Engineer jobs in Colorado? For Algorithm Engineer jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Algorithm Engineer jobs? Cities in Colorado with the most Algorithm Engineer job openings:
Infographic showing various Algorithm Engineer job openings in Colorado as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $117,383 per year, or $56.4 per hour.
Algorithms Engineer

Algorithms Engineer

Delta Solutions & Strategies

Colorado Springs, CO โ€ข On-site

$90K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

Delta Solutions and Strategies is looking to hire an Algorithms Engineer in the Colorado Springs, CO area.

What you will be doing:
  • Analyze new data streams and data formats for different sensor messages to determine integration requirements into an existing operational system.
  • Review a library of approved algorithms and identify which can be applied to process new data streams.
  • Determine gaps in existing approved algorithms and clearly articulate functional needs to inform new algorithm development.
  • Identify relevant data fields within new message formats for downstream processing, fusion, and analysis.
  • Perform pattern analysis across messages to assess data consistency, quality, and reliability.
  • Document findings, create interface control documents, and collaborate with software developers, data scientists, and system engineers to implement messages into custom software.
  • Support testing and validation of new data stream integrations in operational environments.
  • Present findings to technical and non-technical audiences
  • Perform other tasks as directed
What you will need:
  • Security Clearance: Secret clearance required with ability to obtain and maintain TS/SCI
  • Bachelor's degree in physics or a related field
  • 3+ years of experience in algorithms development, data processing, or signal/data analysis
  • Experience analyzing large data sets
  • Familiarity with MATLAB, C#
  • (Preferred) Familiarity with C++ or other object-oriented languages
  • Excellent written and verbal communication skills with the ability to document technical findings clearly
  • Knowledge of algorithms surrounding ballistic and non-ballistic flight paths

Delta Solutions & Strategies offers a generous benefits package to include medical, dental, vision, life insurance, 401(k), PTO, paid holidays, parental, military, and jury duty paid leaves.

In compliance with Colorado's Equal Pay for Equal Work Act, the salary range for this position is $90,000-$120,000. Please note that the salary information is a general guideline only. Delta Solutions & Strategies considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market and business considerations when extending an offer.

We are an Equal Opportunity Employer. We do not and will not discriminate in employment and personnel practices based on race, sex, age, disability, veteran status, religion, national origin or any other basis prohibited by applicable law. Hiring, transferring, and promotion practices are performed without regard to the above listed items. EEO/AAP, M, F, V, D.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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