Sensor Algorithm Engineer – Hardware

Talentlab; Santa Clara (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

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

You will translate algorithms into fixed‑point designs, prototype with MATLAB and Python, and work with hardware, systems and software engineers as designs move toward commercial products. You’ll validate and benchmark progress, document methods, and ensure energy and area

Qualifications

• Bachelor’s, Master’s or PhD in Electrical Engineering or Computer Engineering.
• 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 Kalman filtering and adaptive filtering.
• Experience with sensor fusion using inertial sensors or IMUs.
• Ability to translate algorithms from high-level models into hardware.

Responsibilities

• Develop single- and multi-sensor fusion algorithms for ASIC implementation.
• Design and optimize fixed-point implementations of DSP and sensor algorithms.
• Prototype and evaluate algorithms using MATLAB and Python.
• Work with accelerometer, gyroscope, magnetometer data.
• Apply DSP, estimation, and statistics techniques to real-world sensor problems.
• Balance algorithm accuracy against hardware constraints (performance, power, complexity).
• Validate and benchmark algorithms throughout development.
• Collaborate with ASIC, systems, software, integration, and validation teams.
• Provide detailed algorithm design, evaluation, and implementation documentation.

Skills

Digital signal processing

Kalman filtering

Adaptive filtering

Fixed-point design

MATLAB

Python

C/C++

Sensor fusion

Algorithm development

Education

Bachelor’s, Master’s or PhD in Electrical or Computer Engineering

Tools

MATLAB

Python

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.