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Algorithm Development Engineer Jobs (NOW HIRING)

The engineer bridges clinical needs, scientific rigor, and production software engineering ... Lead intellectual property reviews for algorithm development * Attend scientific meetings, and ...

The engineer bridges clinical needs, scientific rigor, and production software engineering ... Lead intellectual property reviews for algorithm development * Attend scientific meetings, and ...

The Staff Algorithm Development Engineer is responsible for working on projects that involve optimized embedded implementation in C for advanced signal processing algorithms, mathematical modeling ...

The Staff Algorithm Development Engineer is responsible for working on projects that involve optimized embedded implementation in C for advanced signal processing algorithms, mathematical modeling ...

Algorithm Engineer I

Carlsbad, CA ยท On-site

$105K - $140K/yr

Stay up-to-date with the latest advancements in algorithm development and machine learning ... Profieciency in programming languages such as C/C++ * Experience in FPGA design Other Duties Please ...

Algorithm Engineer I

Carlsbad, CA ยท On-site

$105K - $140K/yr

Stay up-to-date with the latest advancements in algorithm development and machine learning ... Profieciency in programming languages such as C/C++ * Experience in FPGA design Other Duties Please ...

Algorithm Engineer I

Carlsbad, CA ยท On-site

$105K - $140K/yr

Stay up-to-date with the latest advancements in algorithm development and machine learning ... Profieciency in programming languages such as C/C++ * Experience in FPGA design Other Duties Please ...

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Algorithm Development Engineer information

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$49K

$96.2K

$153.5K

How much do algorithm development engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for algorithm development engineer in the United States is $96,155.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $106,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Algorithm Development Engineer, and why are they important?

To thrive as an Algorithm Development Engineer, you need a strong background in mathematics, computer science, and programming, typically supported by a relevant degree such as Computer Science or Electrical Engineering. Proficiency in languages like Python, C++, and MATLAB, as well as experience with data analysis tools and version control systems, is crucial; some roles may require knowledge of machine learning frameworks or specialized certifications. Analytical thinking, problem-solving, and effective communication are vital soft skills that help in collaborating with cross-functional teams and translating complex requirements. These skills and qualities are essential for designing efficient algorithms that solve real-world problems and drive technological innovation.

How does an Algorithm Development Engineer typically collaborate with cross-functional teams during a project?

Algorithm Development Engineers often work closely with software engineers, data scientists, and product managers to translate theoretical models into practical solutions. They participate in cross-functional meetings to align on project goals, share progress, and address technical challenges. Regular communication and code reviews are crucial, as the algorithms must integrate smoothly with broader systems and meet both technical and business requirements. This collaborative environment fosters innovation and ensures that solutions are robust, scalable, and effective.

What are Algorithm Development Engineers?

Algorithm Development Engineers are professionals who design, develop, and optimize algorithms to solve complex problems in various fields such as software engineering, data analysis, machine learning, and signal processing. They work on translating theoretical concepts into practical algorithms that can be implemented in products or systems. These engineers often collaborate with data scientists, software developers, and hardware engineers to ensure that their algorithms are efficient, scalable, and meet specific project requirements.

What is the difference between Algorithm Development Engineer vs Data Scientist?

AspectAlgorithm Development EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; knowledge of algorithms and programmingBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical and statistical skills
Work EnvironmentResearch and development teams, software companies, tech firmsData analysis teams, business intelligence units, consulting firms
Industry UsageTechnology, automotive, robotics, AI developmentFinance, healthcare, marketing, e-commerce
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, Algorithm Development Engineers focus on designing and implementing algorithms for software and hardware systems, often in AI and robotics. Data Scientists analyze large datasets to extract insights and support decision-making. The roles overlap in technical skills but differ in their primary objectives and industry applications.

More about Algorithm Development Engineer jobs
What job categories do people searching Algorithm Development Engineer jobs look for? The top searched job categories for Algorithm Development Engineer jobs are:
Infographic showing various Algorithm Development Engineer job openings in the United States as of May 2026, with employment types broken down into 5% As Needed, 88% Full Time, 1% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 74% Physical, 2% Hybrid, and 24% Remote job distribution, with an average salary of $96,155 per year, or $46.2 per hour.

Senior Systems Engineer, Algorithm Development

CHAOS Industries

Hawthorne, CA โ€ข On-site

$110K - $240K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

CHAOS Industries is redefining modern defense with omniscient systems purpose-built for today's realities. Designed and built by top U.S. military veterans and Silicon Valley innovators, CHAOS Industries' products are powered by Coherent Distributed Networks (CDNโ„ข), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. In a world where technological threats move at unprecedented speed, CHAOS Industries delivers advanced sensing and detection solutions that give the ultimate advantage: time.
CHAOS Industries was founded in 2022 and has raised $1B in total funding from leading investors including 8VC, Accel, and NEA. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, Seattle, and London. For more information, please visit www.chaosinc.com.
Role Overview:
  • Support the Systems Engineering design and development of cutting-edge radar capabilities

Responsibilities:
  • Design and develop advanced radar signal processing algorithms for target detection, tracking, and classification
  • Lead the development of new radar capabilities with minimal guidance
  • Optimize algorithms for real-time performance and resource constraints
  • Implement algorithms in software (e.g., C++, Python, MATLAB) and/or hardware (e.g., FPGAs, DSPs)
  • Analyze radar data to evaluate system performance and identify areas for improvement
  • Develop and maintain system simulations and models to support algorithm development and performance evaluation.
  • Design and development of radar modes
  • Contribute to the development of system requirements and specifications
  • Modeling and Simulation of radar systems and sub-systems as well as the signal processing chain
  • Plan and lead field tests and data collection activities
  • Document and present technical findings and progress to leadership
  • Mentor and guide junior engineers
  • Work full-time onsite at our office in Hawthorne, CA

Minimum qualifications:
  • Bachelor's degree in STEM (Science, Technology, Engineering or Mathematics) or another related field or equivalent work experience
  • 8+ years of experience of radar systems
  • Deep understanding of radar systems and modes
  • Strong understanding of radar principles, signal processing techniques, and algorithms
  • Strong familiarity with programming languages like Python or MATLAB
  • Systems Engineering experience with RF (Radio Frequency) Systems
  • Expertise in digital signal processing (e.g. modulation, filtering, and detection)
  • Expertise in algorithm development
  • Expertise in data analysis
  • Excellent problem-solving and analytical skills
  • Ability to work independently and as part of a multidisciplinary team

Preferred qualifications:
  • Graduate degree in STEM (Science, Technology, Engineering or Mathematics) or another related field or equivalent work experience
  • Expertise with radar waveform design, matched filtering, doppler processing, and clutter rejection techniques
  • Strong foundation in both sides of the Systems Engineering V
  • Experience with C++

Why CHAOS?
  • Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
  • Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
  • Our Perks: Free daily lunch, 'No meeting Fridays', unlimited PTO, casual dress code
  • Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
  • Team Growth: 200 employees and counting across 5 global offices

Salary range: $110,000 - $240,000
The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations.
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