설명
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:
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Analyze infrastructure calibrations to understand structure, intent, dependencies, and program applicability
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Build automation and intelligent workflows that determine correct calibration settings for each program and variant
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Develop tools, scripts, and AI‑assisted systems that generate, validate, and deliver calibration content
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Own calibration delivery for cosim variants, vehicle variants, and SDV programs
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Create infrastructure components that support calibration automation, including data pipelines, diagnostic interfaces, and communication layers
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Work across microcontroller platforms, communication stacks, and diagnostic frameworks
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Validate calibration behavior through simulation, cosim, and bench testing
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Identify patterns, rules, and constraints that can be automated or learned by intelligent systems
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Collaborate with calibrators, software engineers, and platform teams to ensure calibration readiness
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Continuously improve calibration workflows, infrastructure, and automation capabilities
Your Skills & Abilities (Required Qualifications)
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Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Controls, or related field
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5+ years of experience in infrastructure software, embedded systems, calibration, or automation
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Strong understanding of calibration workflows, vehicle communication protocols (CAN, LIN, Ethernet), and diagnostics (UDS, GMW)
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Experience with embedded software systems, microcontroller architectures, and infrastructure‑level software
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Proficiency in Python or similar scripting languages
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Ability to analyze complex systems and derive calibration rules, constraints, and dependencies
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Strong problem‑solving skills and attention to detail
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Ability to work independently, manage priorities, and deliver in a fast‑moving environment
What Will Give You a Competitive Edge (Preferred Qualifications)
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Master’s degree in engineering or computer science
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6–8+ years of experience in calibration infrastructure or SDV‑related software
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Experience building automated calibration tools, ML‑based calibration systems, or agent‑based workflows
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Familiarity with cloud‑connected calibration workflows or OTA ecosystems
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Experience with large‑scale data processing, rule extraction, or automated validation
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Background in diagnostics, communication stacks, or regulatory calibration requirements
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Experience leading cross‑functional technical efforts
Who Thrives Here:
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Engineers who think like software developers but understand calibration intent
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People who can reverse‑engineer complex systems and automate them
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Those who enjoy building intelligent tools that eliminate manual work
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Engineers who want to define how calibration is delivered in the SDV era
이 직무는 하이브리드 직무로 분류됩니다. 즉, 선발된 지원자는 특정 근무지로 주 3일 이상(또는 관리자가 지정한 다른 빈도로) 특정 근무지로 출근해야 합니다.
이 직무는 리로케이션 혜택을 받을 수 있습니다.
다양성 정보
General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다. 자세한 정보는 GM 채용 과정 안내를 참고하십시오.
공평한 취업 기회 선언 (미국)
General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다. 자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다.
숙소 (미국 및 캐나다)
General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.
