Staff Software Engineer – Artificial Intelligence

Job Description

The Role

The Staff Software Engineer Artificial Intelligence is responsible for supporting and reinforcing the adoption of AI Software Engineering across the Manufacturing IT organization with the goal of establishing significant improvements in the Manufacturing space relative to manufacturing productivity and efficiency.

The position will drive the identification evaluation and adoption of rapid iterative and incremental computer vision machine learning and deep learning software solutions together with Junior and Principal AI Engineers and our Manufacturing Engineering business partners.

We Are Looking for a Staff Software Engineer Artificial Intelligence Who:
Has a strong drive for excellence
Challenges themselves and their peers
Thrives in collaborative cross-functional environments
Demonstrates a strong work ethic
Has a strong ability and willingness to learn
Excels in data science and deep learning
Desires to deliver innovative solutions to complex problems
Leads and generates technical solutions including specifying requirements functional decomposition analysis development and testing for current new and major programs
Performs complex design analysis
Specifies and balances system requirements
Provides communicates and supports common best practices within the software community

What Youll Do:
Define and drive adoption of GM Manufacturing AI capabilities
Identify opportunities to enhance and streamline current AI and GM Robotics Engineering processes in collaboration with Manufacturing Engineering SMEs
Design and develop ML solutions for real-world environments
Develop and implement computer vision solutions in real-world applications
Interpret research artifacts and translate them into deployable solutions
Conduct simulation activities
Develop data visualization solutions
Design scalable solutions that minimize operational overhead
Ensure end-to-end system and interface understanding so solutions fit within architectural constraints

Your Skills & Abilities (Required Qualifications):
Masters degree in Computer Engineering or Data Science
In-depth knowledge and experience in software development
Extensive experience designing training testing and deploying deep learning models for vision applications
In-depth experience with PyTorch TensorFlow and/or Keras
8 years of software engineering experience
6 years of AI ML and/or data science experience
In-depth experience with Ops MLOps and/or LLMOps
4 years of deep learning vision experience

What Will Give You A Competitive Edge (Preferred Qualifications):
PhD
Publications
In-depth knowledge of ML fundamentals
Demonstrated experience developing and deploying ML solutions for real-world applications
Experience with cloud technologies such as Docker Kubernetes (K8) and HPC platforms
Knowledge of Java/C# Python SQL and C/C
Strong analytical skills and the ability to think outside the box

• Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not be representative for positionslocatedoutside of New York Colorado California or Washington.

  • The salary range for this roleis160200to333400.The actual basesalarya successful candidate will be offered within this range will vary based on factors relevant to the position.

  • Bonus Potential: An incentivepayprogram offers payouts based on company performance job level and individual performance.

  Benefits:

  • 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 tuitionassistanceprograms employeeassistanceprogram GM vehicle discounts and more.

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.

Benefits Overview

From day one were looking out for your well-beingat work and at homeso 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

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