Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report onsite at the Austin IT Innovation Center North - Austin IT Innovation Center North or Warren MI, three times per week minimum or other frequency dictated by the business. This job may be eligible for relocation benefits.
Do you imagine a world with zero crashes, zero emissions, and zero congestion? We do! To reach this ambitious goal we are transforming how features are created and unlocking a new level of potential by further integrating our vehicles with their digital world. Put your code on the road and into the hands of millions of GM customers, knowing that what you build will help reduce crashes and save lives.
We are seeking a highly skilled and motivated Staff Prognostics Engineer to join our dynamic team. The ideal candidate will be a subject matter expert with a strong technical background in vehicle health management and prognostics. In this role, you will guide the research, design, deployment, and launch of advanced diagnostics and prognostics products. We are looking for an innovative continuous learner and collaborative problem solver who is driven to take ideas to production.
Responsibilities:
As a subject matter expert on vehicle health management and prognostics, provide guidance and support to internal teams and external stakeholders
Contribute to developing software architecture, tools, and processes, and oversee the design, development, and validation of prognostics solutions, ensuring accuracy and reliability
Collaborate with cross-functional teams, including product management, program management, and engineering teams to ensure the successful delivery of prognostics projects
Stay updated on relevant regulations and standards in prognostics, ensuring compliance in all products and initiatives
Keep abreast of industry trends and new technology, and educate the global team
Mentor and coach team members, fostering a culture of continuous learning and professional growth
Drive innovation and research in prognostics methodologies
Additional Job DescriptionRequired Qualifications:
Masters degree in engineering, computer science, or a related technical field; PhD preferred.
10+ years of experience in design and implementation of advanced diagnostics and prognostics products
Proven experience in prognostics with a deep understanding of prognostics methodologies, software architecture, and deploying prognostics to the onboard vehicle controllers as well as the cloud infrastructure / systems
10+ years of experience in prognostics software development (Matlab/Simulink, Python, C)
Exceptional skills in advanced signal processing, estimation theory, waveform design, FFTs, stochastic processes, physics based/data driven modeling, and prognostics software architecture
Strong knowledge of statistics and machine learning
A passion for innovation and continuous improvement, and a desire to push the boundaries of prognostics technology
Excellent analytical and problem-solving abilities, with the ability to translate complex technical concepts into actionable insights
Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements
Demonstrated ability to process a high volume of work with high complexity with nonstandard solutions
Strong organizational skills and attention to detail, with a focus on delivering high-quality results
Effective communication and interpersonal skills, with the ability to collaborate with diverse teams and stakeholders
Preferred Skills and Experience:
Deep knowledge of vehicle electrical architecture, telematics, and cloud platforms
Robustness analysis and validation experience (HIL and SIL, design of experiment, unit testing)
Experience debugging embedded control systems
Demonstrated technical creativity, research publications, and development of intellectual property
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 New York, Colorado, California, or Washington
Compensation: The expected base compensation for this role is: $172,900 - $264,800 Actual base compensation within the identified 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.#LI-EL1
About GMOur 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 UsWe aspire to be the most inclusive company in the world. 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. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Benefits OverviewThe goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:
• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;
• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;
• Company and matching contributions to 401K savings plan to help you save for retirement;
• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values;
• Tuition assistance and student loan refinancing;
• Discount on GM vehicles for you, your family and friends.
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, “protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at 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.