Full-Time

Lead Software Engineer

Recogni

Recogni

51-200 employees

High-efficiency AI system for autonomous vehicles

Automotive & Transportation
AI & Machine Learning

Senior, Expert

San Jose, CA, USA

Required Skills
Software Testing
Git
Operating Systems
Requirements
  • B.S. (M.S. preferred) in Computer Science, Electrical or Computer Engineering or a related field.
  • 10+ years of experience developing software.
  • Excellent proficiency in C/C++ programming coupled with a genuine passion for software development.
  • Experience with low-level RTOSes (QNX, vxWorks, ThreadX, etc.) and developing device drivers for them.
  • Experience with embedded development IDEs and debuggers (gdb, lldb, etc.) and JTAG-based debugging.
  • Experience with embedded development tool-chains and cross-compilation methodologies.
  • Experience with multiprocessor-based embedded systems.
  • Experience with software architecture, development and testing best practices.
  • Experience with automated software testing systems for embedded systems.
  • Experience with with standard hardware blocks and protocols (MIPI, PCIe, USB, GPIO, I2C, SPI, UART, MMU, DMA, etc.).
  • Some experience working with safety critical systems with exposure to DO-178C or ISO 26262 preferred, but is not a must.
  • Demonstrable proficiency with test equipment relevant to embedded product development (JTAG, logic analyzers, scopes, etc.).
  • Ability to comprehend hardware specs and schematics.
  • Familiarity with version control systems (expertise in Git is strongly-preferred).
  • Self-starter and highly-motivated to work in a dynamic start-up environment.
Responsibilities
  • Work as a principal technical contributor in the definition, design, implementation and verification of the embedded software of a high-performance AI-based camera and perception module for ADAS systems.
  • Utilize formal design processes to develop embedded software that meets the high-reliability and functional safety requirements of the the perception module.
  • Contribute to the selection, integration and debug of real-time operating systems (RTOS).
  • Integrate (or develop where necessary) low-level I/O drivers (e.g. Automotive Ethernet, USB, GPIO, etc.).
  • Implement cryptographic integrity checking, secure boot (with hard time-to-operational requirements) and over-the-air update lifecycle functionalities for the embedded software.
  • Collaborate with hardware engineers designing application-specific integrated circuits (ASIC) in the selection of embedded CPU cores (e.g. ARM, RISC-V, etc.), as well as supporting functionality variants of those cores (e.g. MMU, MPU, VLIW vector units, etc.).
  • Perform system bringup, debugging and testing.
  • Perform requirements analysis and author high-level and detailed requirements.
  • Troubleshoot software issues and fix defects.
  • Write test specifications and integration tests.
  • Architect and maintain automated software build flows, integrate with continuous integration (CI) systems, and author scripts and utilities.

Recogni stands out in the automobile industry with its unique approach to designing a vision-oriented inference artificial intelligence system, delivering an unprecedented 500x better power efficiency compared to other solutions. This enables edge processing at multiple points on vehicles, reducing the need for central processing and accelerating the development of fully-autonomous vehicles. The company's strong foundation in high-performance computing, artificial intelligence, machine learning, and imaging and vision systems, coupled with its commitment to user privacy and data security, make it a promising place to work and grow.

Company Stage

Series C

Total Funding

$233.1M

Headquarters

San Jose, California

Founded

2017

Growth & Insights
Headcount

6 month growth

23%

1 year growth

27%

2 year growth

74%