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Algorithms Engineer Jobs (NOW HIRING)

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Algorithms Engineer information

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$53.5K

$131.3K

$193.5K

How much do algorithms engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for algorithms engineer in the United States is $131,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $147,500.00 per year, depending on experience, location, and employer.

How do Algorithms Engineers typically collaborate with other teams during the product development process?

Algorithms Engineers frequently work alongside cross-functional teams, including software developers, data scientists, and product managers, to ensure that algorithmic solutions are effectively integrated into products. They often participate in regular meetings to discuss requirements, share progress, and troubleshoot technical challenges. Close collaboration is essential, as algorithms must align with product goals and user needs, and Engineers may need to adjust models or optimizations based on feedback from testing or user data. This teamwork not only improves the final product but also provides valuable learning and growth opportunities for Algorithms Engineers.

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

To thrive as an Algorithms Engineer, you need a strong background in mathematics, computer science, and algorithm design, typically supported by a relevant degree. Proficiency in programming languages such as Python, C++, or Java, and experience with tools like MATLAB or TensorFlow, are commonly required, along with knowledge of data structures and optimization techniques. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with teams and explaining complex concepts. These skills enable the development of efficient, scalable solutions that drive technological innovation and product performance.

What are Algorithms Engineers?

Algorithms Engineers are professionals who design, analyze, and implement algorithms to solve complex computational problems efficiently. They often work in fields such as software development, artificial intelligence, data science, and computer vision. Their role involves optimizing code for speed and scalability, and collaborating with other engineers and researchers to develop new solutions. Strong skills in mathematics, programming, and problem-solving are essential for this job. Algorithms Engineers play a crucial part in making software systems faster, smarter, and more reliable.

What is the difference between Algorithms Engineer vs Data Scientist?

AspectAlgorithms EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentDevelops algorithms for software, hardware, or embedded systemsAnalyzes data to extract insights, build models, and inform decisions
Industry UsageTech, robotics, AI, and software development companiesFinance, healthcare, marketing, and tech sectors
Common Search/ComparisonFocuses on algorithm design and optimizationFocuses on data analysis and predictive modeling

Algorithms Engineers primarily develop and optimize algorithms for software and hardware systems, while Data Scientists analyze data to generate insights and build predictive models. Both roles require strong programming skills and a background in mathematics, but they serve different purposes within technology and data-driven industries.

More about Algorithms Engineer jobs
What cities are hiring for Algorithms Engineer jobs? Cities with the most Algorithms Engineer job openings:
What are the most commonly searched types of Algorithms Engineer jobs? The most popular types of Algorithms Engineer jobs are:
What states have the most Algorithms Engineer jobs? States with the most job openings for Algorithms Engineer jobs include:
Infographic showing various Algorithms Engineer job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $131,349 per year, or $63.1 per hour.
Sr. Wi-Fi Systems & Algorithms Engineer

Sr. Wi-Fi Systems & Algorithms Engineer

Plume

Palo Alto, CA

$186K - $220K/yr

Other

Posted 2 days ago


Job description

Role Description:

We are looking for someone to help hesign and implement optimal algorithms in the cloud by leveraging features offered by existing and new Wi-Fi standards like Wi-Fi 7, culminating in an optimal Wi-Fi network performance. Determine appropriate Wi-Fi metrics originating from both Wi-Fi clients and Wi-Fi Access Points to accurately assess and improve Quality of Experience. Determine parameters that can be controlled on Wi-Fi clients and in the Wi-Fi infrastructure Access Points, that can improve performance of Wi-Fi links in complicated environments. Analyze collected stats, and on the basis of observations, define architecture and algorithms for managing Wi-Fi connections. Implement the architecture into real time and offline algorithms, including machine learning and formal optimization. Define monitoring methods to show the quality of Wi-Fi networks and its constituents links. Define statistics and dashboards allowing service providers to understand the status and quality of connections across their entire network. Telecommuting permitted pursuant to company policy.

Salary: $186,056 - $220,000 per year

Education Requirements:

  • Master's degree or foreign equivalent in Electrical Engineering, Electronics and Communications Engineering, Computer Science, Data Science, or related field.

Experience Requirements:

  • Three (3) years of experience in the position offered, as a Software Engineer, Systems Engineer, or related occupation.
  • Must have experience with the following: building IEEE 802.11 WLAN products (Wi-Fi 4, Wi-Fi 5, Wi-Fi 6/6E); Wi-Fi Mesh systems; measurement procedures and Wireless LAN performance parameters; working on WLAN Management layer protocols to monitor, control and maintain wireless networks at optimal performance and user experience; Wi-Fi MAC and Phy layer parameters that impact overall WLAN experience; SQL and Python; and Cloud based distributed systems.