Senior R&D Engineer

<p><strong>Job Code/ Grade (for R&amp;D only) S1</strong></p><p><strong>Department &amp; Sub-department/ Team name</strong> R&amp;D</p><p><strong>Reports to </strong>R&amp;D Engineering Manager</p><p><strong>This role has no direct reports</strong></p><p><strong>Travel Requirements</strong> No</p><p><strong>Position Summary/ Job</strong><br></p><p><strong>Purpose</strong></p><p>As a Senior R&amp;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.<strong><br></strong></p><p><strong>Main Responsibilities / Key Tasks</strong></p><ul><li><p>Develop and improve our products and technologies</p></li><li><p>Develop compiler component that translates tensor flow to hardware accelerator machine code.</p></li><li><p>Develop scripts for accessing data sets and training models.</p></li><li><p>Develop scripts to analyze performance metrics including accuracy, precision.</p></li><li><p>Analyze models and create the transformations necessary to accelerate on hardware.</p></li><li><p>Collaborate across teams and business units to integrate hardware acceleration and maximize end-use uptake.</p></li><li><p>Collaborate and be recognized as a technical expert in other departments to identify and solve technical problems.</p></li><li><p>Investigate and gain technical knowledge in potential adjacent technologies.</p></li><li><p>Participate and lead in scheduled project reviews.</p></li><li><p>Contribute to continuous improvement initiatives to improve product quality.</p></li><li><p>Mentor and coach junior engineers to help them develop their skills.</p></li><li><p>Analyze various machine learning models, identifying, and creating the necessary transformations to optimize them for hardware acceleration.</p></li><li><p>Perform profiling and tuning of machine learning models on specialized hardware.</p></li><li><p>Develop and debug hardware accelerator toolchains, compilers, and related software.<strong><br></strong></p></li></ul><p><strong>Education level and subject</strong><br>Master's degree in engineering or related field and at least 3 years of experience in product development, prototyping, testing and optimization.</p><p></p><p><strong>Technical skillset required</strong></p><ul><li><p>Three years of experience in the following:</p><p>- C/C++ and Python</p><p>- Bash scripting for automation on Linux and Windows</p><p>- Zephyr OS and RTOS Systems</p><p>- Docker, containerization, and deployment tools</p><p>- Neural network frameworks like Tensorflow, TFLite, Keras for machine learning model development</p><p>- High-level machine learning frameworks and hardware acceleration to improve the efficiency of neural network execution</p><p>- Training and testing low power and low memory machine learning models for running on the edge NN HW accelerator</p><p>- Extract model data from a tensorflow lite model and optimize it for deployment on the HW accelerator</p><p>- IoT devices, wireless communication protocols (e.g., BLE, Zigbee, MQTT, etc) and communication protocols (e.g., I2C, SPI, etc.)</p><p>- Cloud platforms like AWS</p><p>- Typescript or JVM based languages<strong><br></strong></p></li></ul><p><strong>Personal skillset needed/desired</strong></p><ul><li><p>Good communication skills, with the ability to effectively communicate technical information to both technical and non-technical audiences.</p></li><li><p>Strong problem-solving and analytical skills.</p></li><li><p>Ability to work independently and as part of a team.</p></li><li><p>Good project management skills, with the ability to manage multiple projects simultaneously.<strong><br></strong></p></li></ul><p><strong>Leadership skillset needed</strong></p><ul><li><p>Ability to mentor and coach junior engineers.</p></li><li><p>Ability to take ownership of assigned tasks and work with minimal supervision.</p></li><li><p>Ability to collaborate effectively with team members and other departments.</p></li></ul><p></p><p><strong>Practical details</strong></p><ul><li><p><strong>Location: </strong>San Diego, USA</p></li></ul><p><br><strong>Salary:</strong> $137,000</p><p><strong>Work Hours:</strong> Full-time</p>