Principal Software Engineer

Posted 18 Days Ago
Be an Early Applicant
San Jose, CA
Expert/Leader
Artificial Intelligence • Hardware
The Role
The Principal Software Engineer will lead the development of multi-disciplinary systems for multimodal generative AI products, focusing on software solutions and high-performance computing environments. This role entails hands-on engagement in designing, debugging, and optimizing system software, as well as engaging in board-level bringup and lifecycle management in an agile environment.
Summary Generated by Built In

Location : San Jose, CA or Munich Germany

About Recogni

Artificial intelligence (AI) is transforming our world. It can perform cognitive functions that previously only humans could do, such as perceiving interactions across different environments with the ability to quickly learn and then solve complex problems. Recogni is a system solution company that specializes in the design of industry-leading high-performance, low-power AI inferencing. Our mission is to enable multimodal Generative AI inference acceleration at scale by providing safe, sustainable, high-performance AI-driven solutions for many markets. We are at the leading edge of advancing the latest research and product improvements for Al inference solutions that will make Al even more advantageous for compelling new applications. Recogni is a well funded, fast-paced startup company with headquarters in both San Jose, CA, and Munich, Germany. We also have many talented team members working remotely. We prioritize our employees' well-being and their families, aiming for a healthier, happier life inside and outside work. We value their contributions and offer tailored benefits for health and financial security, catering to different life stages. Our comprehensive benefits and competitive compensation, including flexible spending and Bonusly awards, reflect our commitment to a supportive and inspiring work environment.

The Opportunity:

We are seeking a highly experienced Principal Software Engineer to join our world-class engineering team at Recogni. This position requires a strong technical background in software engineering and a passion for developing innovative solutions. In this hands-on, technology leadership role, you will be responsible for multi-disciplinary end-to-end system development for our cutting-edge, multimodal generative AI inference products. You will contribute the creation of new system software solutions for Recogni’s multimodal GenAI products, as well as for its interfaces to partner’s high performance data center frameworks. This is a hands-on role that’s ideal for HPC experts who have a multi-disciplinary software engineering background, along with a keen interest in generative AI, and a passion for designing, debugging, optimizing and finding creative system level solutions to complex technical challenges.

What you’ll bring:

  • 10+ years of hands-on software engineering and systems architecture with a proven track record of success in programming innovative device driver and compiler solutions utilizing C++ and scripting languages like Python and Lua within Linux RTOS environments. 
  • Strong technical understanding of HPC large scale computing environments that use multicore hardware and embedded Linux operating systems, with hands-on involvement in the entire lifecycle from design to first deployment through incremental improvements in an agile CI/CD environment.
  • Demonstrable experience engaging in board level bringup that requires deep understanding of complex concurrencies, virtual memory usage, caching, interrupts, and protocols like I2C/I3C, SPI, PCIe, SMBus, Mail-box etc. 
  • Proficient in analyzing, debugging and tuning performance of complex system software stacks that run on custom, programmable hardware systems (like CPUs, GPUs, NPUs, etc.) which heavily leverage high-speed interconnects, high bandwidth memory and cooperative multitasking for distributed computing across many processing elements, deployed within data centers. 
  • Excellent analytical, written, and verbal interpersonal skills along with an ability to productively collaborate within a global engineering team that moves at a startup pace.
  • Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering or a related technical field.

Recogni's culture was built on the following values:

  • Put people first. We only succeed when our people succeed.
  • Ethics and integrity always; Being open, honest, and respectful of everyone.
  • Think Big. Be ambitious and have audacious goals.
  • Aim for excellence. Quality and excellence count in everything we do.
  • Own it and get it done. Results matter!
  • Make each person better together, than they would be as an individual.
  • Embrace each others’ differences, and embrace that there will be differences.

Recogni is an equal opportunity employer. We believe that a diverse team is better at tackling complex problems and coming up with innovative solutions. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Top Skills

C
Lua
Python
The Company
HQ: San Jose, CA
51 Employees
On-site Workplace
Year Founded: 2017

What We Do

The automobile industry has arrived at a crossroads. The transition to electric vehicles (EV) and the vitalized development of fully-autonomous vehicles (AV) has placed a big burden on fitting extraordinary amounts of computational power for artificial intelligence within the energy budget of batteries without affecting range. While battery technology is improving slowly, advances in compute efficiency have stalled as mere Moore's Law scaling of computational architectures from the past are nearly at an end.

Recogni, with its unique approach to designing a vision-oriented inference artificial intelligence system from the ground up as a holistic module, will deliver unprecedented inference performance at more than 500x better power efficiency compared to other solutions, enabling novel edge processing at multiple points on vehicles to naturally offload central processing needs.

Building on a strong foundation of entrepreneurial team-building and operations experiences, our unique blend of proven track records in high-performance computing and distributed systems, artificial intelligence and machine learning, and imaging and vision systems is empowering us to accelerate the realization of fully-autonomous vehicles.

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