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Senior Algorithm Engineer Jobs (NOW HIRING)

Cypress HCM

Senior Algorithm Engineer

Redwood City, CA · On-site

$150 - $190K/hr

Location Algorithm Engineer Location: Belmont, CA (hybrid) Employees : Industry : Wireless services Position Reporting To: Principal Engineer Dynamic Bay Area startup is seeking a Wireless Location ...

Imagry

Motion Planning Engineer

San Jose, CA · On-site

Mid-Senior Algorithm Engineer | Motion Planning & Decision Making Imagry is looking for a talented Algorithm Engineer (Mid-Senior level) to join our team in San Jose, CA, US. imagry.7F.66C ...

Globus Medical

Senior Algorithm Development Engineer

Audubon, PA · On-site

$123.60K - $162.90K/yr

The Senior Algorithm Development Engineer is the technical lead responsible for designing, validating, and implementing therapy algorithm updates that drive optimal patient outcomes. This role leads ...

Draper

Senior Navigation Algorithm Engineer

Cambridge, MA · On-site

$82.30K - $220K/yr

The Senior Navigation Algorithm Engineer develops software for cutting-edge space and defense systems used by the US Government and commercial customers as well as internal R&D projects. A Senior ...

Castelion Corporation

Senior Radar Algorithm Engineer

Allen, TX · On-site

$97.20K - $133.50K/yr

Senior Radar Algorithm Engineer As a Senior Radar Algorithm Engineer, you will develop and deploy advanced algorithms for air-to-air radar systems operating in contested, modern electronic warfare ...

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Senior Algorithm Engineer information

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$59.5K

$126.6K

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How much do senior algorithm engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for senior algorithm engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Algorithm Engineer, you need advanced proficiency in mathematics, computer science, and algorithm design, usually supported by a relevant degree and extensive experience in the field. Expertise with programming languages such as Python or C++, proficiency with machine learning libraries, and familiarity with version control systems like Git are commonly required. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas clearly help set top candidates apart. These skills are crucial for developing robust, efficient solutions and collaborating effectively on challenging technical projects.

What are some common challenges faced by Senior Algorithm Engineers when deploying algorithms into production environments?

Senior Algorithm Engineers often encounter challenges such as ensuring that algorithms are both scalable and efficient when integrated into real-time systems. Balancing model accuracy with computational resource constraints is a frequent task, as well as addressing data inconsistencies and managing version control for iterative algorithm updates. Collaboration with software engineers and data engineers is essential to ensure smooth deployment, monitor performance, and quickly resolve any production issues. Staying updated with the latest frameworks and best practices also helps in overcoming these challenges.

What does a Senior Algorithm Engineer do?

A Senior Algorithm Engineer is responsible for designing, developing, and optimizing complex algorithms that solve technical problems or enhance product performance. They often work with large datasets, machine learning models, or mathematical techniques to create efficient solutions. In addition to coding, they may collaborate with cross-functional teams, review the work of junior engineers, and help set the technical direction for algorithm development projects. Their expertise ensures that products and systems run efficiently and accurately.

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

AspectSenior Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, EE, or related; strong math and programming skillsBachelor's or Master's in CS, Statistics, or related; strong analytical and programming skills
Work EnvironmentDevelops algorithms for software, hardware, or embedded systems in tech companiesAnalyzes data to extract insights, often in tech, finance, or healthcare sectors
Industry UsageCommon in AI, robotics, and software developmentPrevalent in analytics, machine learning, and business intelligence

While both roles require strong programming and analytical skills, Senior Algorithm Engineers focus on designing and optimizing algorithms for technical systems, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in AI and machine learning projects but serve different primary functions within organizations.

What cities are hiring for Senior Algorithm Engineer jobs? Cities with the most Senior Algorithm Engineer job openings:
What are the most commonly searched types of Algorithm Engineer jobs? The most popular types of Algorithm Engineer jobs are:
What states have the most Senior Algorithm Engineer jobs? States with the most job openings for Senior Algorithm Engineer jobs include:
Senior Algorithm Engineer jobs near you
Infographic showing various Senior Algorithm Engineer job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Temporary. Highlights an 12% Physical, and 88% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.
Senior Algorithm Engineer

Senior Algorithm Engineer

Cypress HCM

Redwood City, CA • On-site

$150 - $190K/hr

Full-time

Medical, Dental, Vision

Posted 23 days ago

Job description

Location Algorithm Engineer
Location: Belmont, CA (hybrid)
Employees: <50
Industry: Wireless services
Position Reporting To: Principal Engineer
Dynamic Bay Area startup is seeking a Wireless Location Algorithm Engineer tasked with designing, optimizing, and implementing advanced signal processing techniques and location estimation algorithms. This work will help determine the real-time positioning of devices in dynamic environments.
Most Important Responsibilities:
  • Develop algorithms to extract highly accurate timing and spatial data from wireless signals in complex environments.
  • Create both physical and virtual test setups to assess system components and ensure their performance in controlled scenarios.
  • Acquire in-depth knowledge of operating principles and actively contribute to knowledge sharing within the team.
  • Continuously analyze and improve existing location estimation methodologies, adapting them to meet the latest industry trends and standards.
Required Experience and Skills:
  • PhD in Electrical Engineering, or equivalent research experience, specializing in wireless communications.
  • 3+ years of industry experience in location based wireless engineering.
  • Comprehensive knowledge of wireless communication systems and protocols, particularly those in the IEEE 802.11 series.
  • Expertise in wireless channel modeling and the effective use of Channel State Information (CSI).
  • Familiarity with key concepts like modulation schemes, coding techniques, spatial stream diversity, cyclic shift diversity, multipath interference, beamforming, and angle of arrival.
  • In-depth understanding of Time Difference of Arrival (TDoA) and other location-based techniques.
  • Solid grounding in time synchronization techniques and their practical applications.
  • Proficiency in Linux-based development environments and command-line tools.
  • Strong programming skills in Python, with hands-on experience using libraries such as NumPy.
  • Familiarity with version control, particularly GIT.
  • Adherence to best practices in software development, including modular design, interface abstraction, unit testing, and managing version compatibility.
Preferred Skills:
  • Knowledge of RF certification bodies and understanding of relevant regulatory standards.
  • Practical experience with RF hardware design or system interfacing.
  • Background in modeling uncertainty in complex systems.
  • Exposure to machine learning techniques in Python, including GPU optimization.
  • Experience with adaptive filtering techniques.
  • Expertise with adaptive filtering techniques.
  • Expertise in modeling 3D wireless channels using ray tracing or similar advanced methods.
  • Advanced Python skills, including classes, asynchronous programming, and list comprehensions.
  • Experience with embedded systems or real-time programming environments.
  • Proficiency in MATLAB for simulation and modeling purposes.
Featured Benefits: Medical, Vision, Dental, Stock Options
Compensation: $150 – $190K + Stock Options
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About Cypress HCM

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We deliver consistently superior recruiting by virtue of trusting, communicative relationships with companies and candidates alike. From Fortune 100s to startups, clients lean on us to fulfill their range of needs from contract to full-time positions. With an intimate knowledge of the industries we serve, a keen sense of what makes for high-performing talent in any role, and shared sense of urgency, our clients will tell you: your solution begins here.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Walnut Creek, CA, US

Year founded

2005

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