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Engineering Manager - Embedded Systems, Devices
Engineering Manager - Embedded Systems, DevicesGeneral Motors • San Francisco, CA, US
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Engineering Manager - Embedded Systems, Devices

Engineering Manager - Embedded Systems, Devices

General Motors • San Francisco, CA, US
[job_card.30_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Engineering Manager, Camera Platform Software

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

GM is developing the next generation of embedded platform software to deliver state-of-the-art features to our customers. To achieve that goal, we are looking for technical managers who coach their teams to success and mentor their direct reports to achieve their potential.

The Autonomy Interface SW team is responsible for the software that configures devices like lidars, cameras, radars, and IMUs and delivers sensor data to the AV stack running on GM vehicles. We are looking for a talented Engineering Manager to lead, manage, and grow our Camera platform SW engineering team in a fast-paced environment. The ideal candidate will combine deep technical expertise in embedded systems and camera technology with strong leadership skills to mentor engineers, drive cross-functional collaboration, and deliver high-quality, performant software solutions.

At GM, we believe in managers who remain deeply technical and understand the challenges their teams are facing, even though they may not be the technical lead or contributing software day-to-day. Our managers coach their teams to success, shield their teams from distractions, and help publicly celebrate wins.

What You'll Do :

  • Direct oversight of engineers building highly performant software running on our Autonomous Vehicles and supporting infrastructure
  • Provide technical guidance and strategic direction in embedded software development for camera sensor & image processing pipelines, and related subsystems.
  • Work with technical lead(s) to set the technical direction for the team, and anticipate strategic and scaling-related challenges
  • Work with Engineering Leadership and Technical Program Managers to create and execute on a roadmap for your team
  • Drive software engineering best practices
  • Conduct performance reviews, identify top performers, and support their growth into Technical Leadership or Engineering Management roles
  • Foster a healthy, collaborative culture and high-output team
  • Help define, build, and embody GM engineering culture and principles
  • Invest heavily in recruiting by working closely with recruiters, screening candidates, and identifying opportunities for external engagement to improve the GM engineering brand

What We're Looking For :

  • 4+ years experience managing teams who have shipped and support scalable production systems
  • 5+ years experience in software engineering roles
  • Self-motivated to lead your teams, encourage best practices, and constantly improve
  • Effective interpersonal, leadership, and communication skills
  • Bachelor's degree in engineering or equivalent real world experience
  • Bonus Points :

  • Experience building or managing performance and safety critical systems or similar
  • Experience with DO-178, ISO-26262, or IEC-62304
  • Experience with modern C++11 or later development
  • Experience working with ROS or other robotics frameworks
  • Deep understanding of SoC architectures and hardware communication protocols (IC, SPI, PCIe, USB).
  • Hands-on experience with camera / video subsystems, including MIPI-CSI interfaces, V4L2 frameworks, and Image Signal Processors (ISP)
  • Familiarity with industry-specific frameworks (e.g., Android Camera HAL3, QCOM, or Nvidia video frameworks).
  • Experience with computer vision or image processing algorithms and performance optimization.
  • Hybrid : This role is categorized as hybrid. This means the successful candidate is expected to report to an office location three times per week, at minimum.

    Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

  • The salary range for this role is $185,600.00 to $285,000.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
  • Bonus Potential : An incentive pay program offers payouts based on company performance, job level, and individual performance.

    Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

    This job may be eligible for relocation benefits.

    Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note : program participants are required to purchase / lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

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