Job Code/Grade (for R&D only) S1

Department & Sub-department/Team name R&D

Reports to R&D Engineering Manager

This role has no direct reports

Travel Requirements No

As a Senior R&D Engineer, you are responsible for developing and improving our products and technologies. You are recognized by other team members to be able to identify and suggest solutions to difficult technical problems.

• Develop and improve our products and technologies
• Develop compiler component that translates tensor flow to hardware accelerator machine code.
• Develop scripts for accessing data sets and training models.
• Develop scripts to analyze performance metrics including accuracy, precision.
• Analyze models and create the transformations necessary to accelerate on hardware.
• Collaborate across teams and business units to integrate hardware acceleration and maximize end-use uptake.
• Collaborate and be recognized as a technical expert in other departments to identify and solve technical problems.
• Investigate and gain technical knowledge in potential adjacent technologies.
• Participate and lead in scheduled project reviews.
• Contribute to continuous improvement initiatives to improve product quality.
• Mentor and coach junior engineers to help them develop their skills.
• Analyze various machine learning models, identifying, and creating the necessary transformations to optimize them for hardware acceleration.
• Perform profiling and tuning of machine learning models on specialized hardware.
• Develop and debug hardware accelerator toolchains, compilers, and related software.

Master's degree in engineering or related field and at least 3 years of experience in product development, prototyping, testing and optimization.

• C/C+ and Python
• Bash Scripting for automation on Linux and Windows
• Zephyr OS and RTOS Systems
• Docker, containerization, and deployment tools
• Neural network frameworks like Tensorflow, TFLite, Keras for machine learning model development
• High-level machine learning frameworks and hardware acceleration to improve the efficiency of neural network execution
• Training and testing low power and low memory machine learning models for running on the edge NN HW accelerator
• Extract model data from a tensorflow lite model and optimize it for deployment on the HW accelerator
• IoT devices, wireless communication protocols (eg, BLE, Zigbee, MQTT, etc) and communication protocols (eg, I2C, SPI, etc.)
• Cloud platforms like AWS
• Typescript or JVM based languages

• Good communication skills, with the ability to effectively communicate technical information to both technical and non-technical audiences.
• Strong problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Good project management skills, with the ability to manage multiple projects simultaneously.

• Ability to mentor and coach junior engineers.
• Ability to take ownership of assigned tasks and work with minimal supervision.
• Ability to collaborate effectively with team members and other departments.

• Location: San Diego, USA

Salary: $137,000

Work Hours: Full-time