Hayden AI Logo

Hayden AI

Senior Software Engineer - Device

Posted 7 Days Ago
Be an Early Applicant
Hybrid
San Francisco, CA, USA
160K-260K Annually
Senior level
Hybrid
San Francisco, CA, USA
160K-260K Annually
Senior level
Design, implement, and optimize software for edge devices integrated with hardware. Collaborate with hardware engineers, lead code reviews, mentor junior engineers, troubleshoot field issues, and ensure system reliability, security, and performance in operational environments.
The summary above was generated by AI
About Us

At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.

From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.

About the Role

As the Senior Software Engineer - Device, you will shape Hayden AI’s hardware-integrated software systems, directly contributing to our mission of transforming urban mobility and public safety through edge device technology. In this role, you will architect, develop, and optimize software running on distributed hardware devices, ensuring robust, scalable, and high-performance solutions. You will report into Siyao, Device Engineering Manager, and work closely with cross-functional teams including Hardware Engineering, Product Management, and Field Operations. We’re looking for someone who combines technical excellence with collaborative drive and thrives on solving complex engineering challenges. This position is based in [City] and follows a hybrid schedule with at least 3 days in-office per week.

 
Key Responsibilities

Below are your primary responsibilities. These represent the core areas where you’ll make an impact. As part of a rapidly evolving team, we look forward to your impact expanding over time.

 
  • Design, implement, and maintain software for edge devices, ensuring seamless integration with hardware

  • Collaborate with hardware engineers to define system requirements and drive end-to-end feature delivery

  • Optimize system performance for reliability, security, and efficiency in real-world operational environments

  • Lead code reviews, establish software standards, and mentor junior engineers

  • Troubleshoot complex field issues, working with cross-functional teams to provide rapid solutions

 
Required Qualifications

The qualifications below outline the experience and skills most relevant to success in this role. We recognize that skills and potential come in many forms, and we welcome diverse experiences that advance our mission.

 
  • Experience: 5+ years in software engineering with a focus on embedded systems, device software, or IoT solutions

  • Core Skills: Proficiency in C/C++ and/or Python; strong hands-on experience developing software for hardware devices; familiarity with Linux and real-time systems

  • Personal Attributes: Effective communicator; collaborative team player; adaptable and proactive problem-solver; ownership mindset

  • Education: Bachelor’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience

  • Nice to Have: Experience with computer vision, edge compute, low-level hardware interfaces, or cloud-connected devices; prior experience in mobility, transportation, or safety technology sectors

 
HQ

Hayden AI San Francisco, California, USA Office

460 Bryant Street, San Francisco, CA, United States, 94107

Similar Jobs

2 Days Ago
In-Office
San Jose, CA, USA
120K-200K Annually
Senior level
120K-200K Annually
Senior level
Artificial Intelligence • Hardware • Machine Learning • Natural Language Processing • Software • Generative AI
Responsible for post-silicon validation, debug, and validation of high-speed IO and memory subsystems to ensure reliable AI systems. Lead efforts in debugging, product validation, and development of tools for automation.
Top Skills: BashCCxlEthernetHbmPciePythonUcie
Yesterday
Easy Apply
Hybrid
Easy Apply
17-32 Hourly
Junior
17-32 Hourly
Junior
Fintech • Mobile • Software • Financial Services
Provide courteous, accurate customer service and transaction processing, open and maintain new accounts, process deposits/payments, balance cash drawer daily, approve transactions within limits, handle compliance tasks (Reg CC, CTR, OFAC), perform administrative duties, and support/cover supervisory responsibilities as needed.
Yesterday
Easy Apply
Hybrid
Easy Apply
18-33 Hourly
Junior
18-33 Hourly
Junior
Fintech • Mobile • Software • Financial Services
Provide superior customer service while processing teller transactions, balancing cash drawers and vaults, reconciling discrepancies, opening accounts, coaching tellers, and performing vault and daily branch operations in compliance with bank policies and regulations.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account