Search the 15 jobs at Recogni

Design and develop software components for chassis and operating system development of AI accelerator platform. Lead kernel and driver development efforts. Design and implement networking architecture for datacenter environments. Collaborate across teams for seamless integration and mentor junior engineers.

The Sr. Staff Signal and Power Integrity Engineer will lead Signal Integrity and Power Integrity aspects of hardware development for AI hardware design. Responsibilities include conducting signal integrity simulations, optimizing power circuit for power integrity, and supporting testing activities.

Implementing software for a high-performance and low-power convolutional neural network accelerator ASIC. Working with a team of Software Engineers and using technical concepts in sensor and robotics, backend development, and infrastructure automation.

Implement software for autonomous driving applications in a high-performance and low-power convolutional neural network accelerator ASIC. Gather requirements, perform analysis, design and deploy scalable software applications. Require strong scripting and debugging skills using shell scripts, Python. Familiar with Linux Device Drivers, Linux Embedded environments, and version control software (Git, GitHub). Familiar with C/C++, TensorFlow, and PCIe drivers.

Ensure correctness and quality of a high-performance ASIC for autonomous driving applications. Develop test plans, implement verification environment, handle bug tracking, and perform validation tests.

Responsibilities include implementing software for a convolutional neural network accelerator ASIC. Qualifications include a degree in Computer Science or related field, 3+ years of embedded software development experience, fluency in C/C++ and OpenGL/GLSL, and strong problem-solving skills.

Responsible for microarchitecture and design implementation of a high-performance and low-power convolutional neural network accelerator ASIC. Collaborate with teams and assist with software bring-up in the lab.

Implement software for high-performance convolutional neural network accelerator ASIC. Responsible for design, development, debugging, and sustaining engineering. Work with real-time operating systems, integrate low-level I/O drivers, implement integrity checking and secure boot, collaborate with hardware engineers, perform system bringup and testing, troubleshoot software issues, and architect automated software build flows.

Lead software engineer responsible for implementing software for an AI-based camera and perception module for autonomous driving applications. Design, develop, debug, and maintain the software that runs on an ASIC. Collaborate with hardware engineers and perform system testing and debugging. Strong proficiency in C/C++ programming and extensive experience in software development.

The ADAS Integration Engineer will be responsible for the design, development, and integration of autonomous vehicle systems. They will assist in the integration of Recogni's systems into OEM vehicles and collaborate with internal teams and external customers. Strong communication skills and a background in OEM Automotive solutions are required.

Responsible for pre-silicon correctness and quality of an ASIC for autonomous driving applications. Develop verification environment and tests, triage and debug issues, and perform post-silicon validation tests.

Responsible for the microarchitecture and design implementation of a high-performance and low-power convolutional neural network accelerator ASIC. Works closely with design verification engineers and collaborates with the physical design team.

Implement embedded software for an AI-based camera and perception module for ADAS systems. Collaborate with hardware engineers in selecting embedded CPU cores and supporting functionality. Perform system bringup, debugging, and testing. Write test specifications and maintain automated software build flows.

Experienced systems architect with deep expertise in architectural modeling via functional, performance and power simulations. Passion for AI and outstanding analytical skills.

The Senior Systems Test Engineer will play a critical role in ensuring the quality and reliability of multimodal AI inferencing systems, focusing on test strategies, automation, system performance evaluation, and hardware testing. Responsibilities include designing test plans, automating tests, evaluating system performance, and conducting hands-on testing of hardware products.