General Motors Logo

General Motors

Senior Software Engineer - Calibration Automation

Posted 10 Days Ago
Be an Early Applicant
Hybrid
Milford, MI
Senior level
Hybrid
Milford, MI
Senior level
The role involves analyzing and automating calibration processes for SDV infrastructure, developing tools and intelligent workflows, and collaborating with multiple teams to ensure calibration readiness.
The summary above was generated by AI
Description
Work Classification:
Hybrid: The successful candidate is expected to report to Milford, MI three times per week, at minimum, or as dictated by the business.
The Team:
The SDV Infrastructure Calibration Organization owns the delivery of all SDV infrastructure calibrations across GM. We ensure every platform, domain, and feature has the foundational calibration content required for safe, intelligent, and reliable operation.
We are also building the next generation of calibration automation - intelligent agents, automated workflows, and scalable systems that transform calibration from a manual engineering task into a software-driven capability.
We blend calibration domain knowledge with modern software, data, and AI thinking. We move quickly, solve complex problems, and build the tools that will define how calibration is delivered in the SDV era.
The Role:
We are looking for an engineer who understands infrastructure software and can apply software, data, and AI techniques to the calibration space. This role requires someone who can analyze how calibrations work, determine how they should be applied across vehicle and cosim variants, and build automation that delivers them reliably and at scale.
You will work at the intersection of calibration, embedded software, diagnostics, data pipelines, and intelligent automation. Your work will directly enable fast, accurate, and repeatable calibration delivery across the enterprise.
What You'll Do:
  • Analyze infrastructure calibrations to understand structure, intent, dependencies, and program applicability
  • Build automation and intelligent workflows that determine correct calibration settings for each program and variant
  • Develop tools, scripts, and AI-assisted systems that generate, validate, and deliver calibration content
  • Own calibration delivery for cosim variants, vehicle variants, and SDV programs
  • Create infrastructure components that support calibration automation, including data pipelines, diagnostic interfaces, and communication layers
  • Work across microcontroller platforms, communication stacks, and diagnostic frameworks
  • Validate calibration behavior through simulation, cosim, and bench testing
  • Identify patterns, rules, and constraints that can be automated or learned by intelligent systems
  • Collaborate with calibrators, software engineers, and platform teams to ensure calibration readiness
  • Continuously improve calibration workflows, infrastructure, and automation capabilities

Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Controls, or related field
  • 5+ years of experience in infrastructure software, embedded systems, calibration, or automation
  • Strong understanding of calibration workflows, vehicle communication protocols (CAN, LIN, Ethernet), and diagnostics (UDS, GMW)
  • Experience with embedded software systems, microcontroller architectures, and infrastructure-level software
  • Proficiency in Python or similar scripting languages
  • Ability to analyze complex systems and derive calibration rules, constraints, and dependencies
  • Strong problem-solving skills and attention to detail
  • Ability to work independently, manage priorities, and deliver in a fast-moving environment

What Will Give You a Competitive Edge (Preferred Qualifications)
  • Master's degree in engineering or computer science
  • 6-8+ years of experience in calibration infrastructure or SDV-related software
  • Experience building automated calibration tools, ML-based calibration systems, or agent-based workflows
  • Familiarity with cloud-connected calibration workflows or OTA ecosystems
  • Experience with large-scale data processing, rule extraction, or automated validation
  • Background in diagnostics, communication stacks, or regulatory calibration requirements
  • Experience leading cross-functional technical efforts

Who Thrives Here:
  • Engineers who think like software developers but understand calibration intent
  • People who can reverse-engineer complex systems and automate them
  • Those who enjoy building intelligent tools that eliminate manual work
  • Engineers who want to define how calibration is delivered in the SDV era

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

General Motors Mountain View, California, USA Office

General Motors Mountain View Tech Center Office

Opened in 2024, our Mountain View facility serves as a hub for research and innovation in Silicon Valley. Designers, engineers, and staff at this state-of-the-art campus support the advancement of General Motors’ product portfolio through software development, engineering and design.

Similar Jobs at General Motors

2 Hours Ago
Hybrid
Senior level
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The role involves designing and developing AUTOSAR embedded systems, leading technical solutions, and diagnosing vehicle software issues. Requires teamwork and expertise in embedded software development.
Top Skills: AndroidAutosarCC++JavaLinuxPythonQnxVector Davinci
2 Hours Ago
Remote or Hybrid
Senior level
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Virtual Propulsion Engineer leads gearbox design and analysis for automotive propulsion systems, ensuring technical excellence in product development and cross-functional collaboration.
Top Skills: AbaqusAi/Ml ToolsHyperstudyMastaRomaxSiemens NxTrans3D
2 Hours Ago
Remote or Hybrid
United States
74K-115K Annually
Senior level
74K-115K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Field Service Engineer provides on-site automotive and computer technical support, diagnosing issues, and maintaining dealership relationships to reduce vehicle repurchases and warranty claims.
Top Skills: Data Bus Diagnostic ToolsGm Essential Service ToolsMs Office ApplicationsPico Scope

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