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Algorithm Design Jobs (NOW HIRING)

Aptiv

ADAS Algorithm Developer

Troy, MI · On-site

Proficiency in MATLAB, Simulink, and Stateflow for algorithm design and implementation. * Experience developing state machines, decision logic, or event-driven control architectures. * Knowledge of ...

Aptiv PLC

ADAS Algorithm Developer

Troy, MI · On-site

Proficiency in MATLAB, Simulink, and Stateflow for algorithm design and implementation. * Experience developing state machines, decision logic, or event-driven control architectures. * Knowledge of ...

MICROVAST INC

BMS Algorithm Engineer

Houston, TX · On-site

Design, develop, and optimize safety related algorithms for battery system and battery management system. * Conduct research and apply state-of-the-art methodologies to improve system performance.

Meta

Battery Algorithm Engineer

Redmond, WA

$173K/yr

Lead the design and development of battery algorithms across the wearables portfolio -- SOC/SOH estimation, fuel gauging, charge-time and peak-power optimization, and battery-life extension * Shape ...

Meta

Battery Algorithm Engineer

Sunnyvale, CA

$173K/yr

Lead the design and development of battery algorithms across the wearables portfolio -- SOC/SOH estimation, fuel gauging, charge-time and peak-power optimization, and battery-life extension * Shape ...

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Algorithm Design information

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$29.5K

$110.9K

$172.5K

How much do algorithm design jobs pay per year?

As of Sep 11, 2026, the average yearly pay for algorithm design in the United States is $110,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $129,000.00 per year, depending on experience, location, and employer.

What is algorithm design?

Algorithm design is the process of creating step-by-step solutions to computational problems. It involves defining a clear set of instructions that a computer can follow to achieve a specific goal, such as sorting data or searching for information. Good algorithm design focuses on efficiency, correctness, and scalability, ensuring that the solution works well for different inputs and sizes. This field is fundamental in computer science and underpins many areas of software development and engineering.

What are the key skills and qualifications needed to thrive in algorithm design, and why are they important?

To excel in Algorithm Design, you need a deep understanding of data structures, computational complexity, and strong mathematical and programming foundations, often supported by a degree in computer science or a related field. Familiarity with programming languages like Python, C++, or Java, and tools such as algorithm analysis frameworks and version control systems, is typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills for this role. These capabilities are vital for developing efficient, scalable solutions and effectively collaborating with development teams to solve complex computational problems.

What are some common challenges faced by professionals in algorithm design roles, and how can they be addressed?

Professionals in algorithm design often encounter challenges such as optimizing for both efficiency and accuracy, handling large or complex datasets, and ensuring solutions are scalable. Collaboration with software engineers, data scientists, and domain experts is crucial to validate approaches and integrate algorithms effectively into products. Staying updated with the latest research and continuously refining problem-solving skills can help address these challenges and contribute to innovative, robust solutions.

What is the difference between Algorithm Design vs Data Scientist?

AspectAlgorithm DesignData Scientist
Required CredentialsComputer Science degree, programming skillsStatistics, data analysis, programming
Work EnvironmentSoftware development, research teamsData analysis, business insights teams
Industry UsageTech, software, AI developmentFinance, marketing, healthcare
Common Search/ComparisonFocus on creating algorithmsFocus on data analysis and interpretation

Algorithm Design involves creating efficient algorithms to solve computational problems, often requiring strong programming and computer science skills. Data Scientists analyze and interpret complex data to inform business decisions, combining statistical knowledge with programming. While both roles require technical skills, Algorithm Design is more focused on developing algorithms, whereas Data Scientists focus on extracting insights from data.

How to get better at algorithm design?

To improve at algorithm design, focus on studying fundamental algorithms and data structures, practicing problem-solving on platforms like LeetCode or Codeforces, and analyzing algorithm efficiency. Developing a strong understanding of computational complexity and regularly challenging yourself with complex problems enhances skills relevant to algorithm design roles.
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Algorithm Design jobs near you
Infographic showing various Algorithm Design job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $110,868 per year, or $53.3 per hour.

Sensor Algorithm Engineer - Hardware

Santa Clara, CA • On-site

Talentlab
See more jobs at Talentlabexternal

$143K - $189K/yr

Other

Posted 21 days ago

Job description

Sensor Algorithm Engineer – Hardware / ASIC

Location: Santa Clara, California
Focus: Sensor Fusion, DSP, Fixed-Point Algorithms, ASIC Implementation

TalentLab is recruiting a Sensor Algorithm Engineer to develop advanced sensor fusion and signal processing algorithms targeted for hardware implementation.

This is a systems and algorithm design role sitting between sensor algorithms and ASIC hardware. You'll develop and evaluate algorithms using MATLAB and Python, translate them into fixed-point designs suitable for hardware implementation, and work closely with hardware, systems and software engineers as designs move from early R&D toward commercial products.

The technology is used across smartphones, wearables, IoT and other consumer devices, with a particular focus on extracting accurate information from inertial and other physical sensors.

What You'll Work On

Develop single and multi-sensor fusion algorithms targeted for ASIC implementation.

Design and optimize fixed-point implementations of signal processing and sensor algorithms.

Prototype and evaluate algorithms using MATLAB and Python.

Work with accelerometer, gyroscope, magnetometer and other sensor data.

Apply DSP, estimation and statistical techniques to real-world sensor problems.

Balance algorithm accuracy against hardware constraints including performance, power and computational complexity.

Validate and benchmark algorithms throughout the development process.

Work closely with ASIC, systems, software, integration and validation teams.

Support C/C++ implementations where required for software-based development and validation.

Produce detailed algorithm design, evaluation and implementation documentation.

What We're Looking For

Bachelor's, Master's or PhD in Electrical Engineering, Computer Engineering or a closely related discipline.

Strong foundation in digital signal processing and algorithm development.

Experience with fixed-point algorithm design and implementation.

Strong MATLAB and/or Python skills.

Experience with techniques such as Kalman filtering, adaptive filtering, linear algebra, probability and statistics.

Experience with sensor fusion, particularly using inertial sensors or IMUs.

Understanding of the considerations involved in translating algorithms from high-level models into hardware.

Hands-on algorithm implementation and debugging experience in software and/or hardware.

Particularly Relevant Experience

We're especially interested in candidates with experience in one or more of the following:

DSP algorithms targeted for ASIC or FPGA implementation.

Hardware-oriented algorithm design.

Sensor fusion and estimation.

Kalman filters and adaptive filtering.

IMUs, accelerometers, gyroscopes and magnetometers.

MATLAB-based algorithm modelling and simulation.

Signal processing architecture and hardware/software partitioning.

C/C++ implementation of signal processing algorithms.

Machine learning techniques applied to sensor data.

Research or publications in signal processing, sensor fusion or related areas.

The Role

The key distinction in this position is the hardware destination of the algorithms. We're not looking for a general machine learning engineer or an embedded software developer. The strongest candidates will understand both the mathematics behind signal-processing and sensor-fusion algorithms and the practical constraints involved in implementing those algorithms efficiently in silicon.

The role can accommodate candidates at different stages of their careers, including recent PhD graduates with directly relevant research in signal processing, sensor fusion, fixed-point design or hardware-oriented algorithm development.

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