Staff Software Engineer – Artificial Intelligence

SupportFinity™; Austin (TX); On-site; USD 150,000 - 260,000; Full time

Job summary

General Motors is seeking a Staff Software Engineer – Artificial Intelligence in Austin to advance AI software engineering across Manufacturing IT. You will lead the adoption of computer vision, ML, and deep learning solutions with Manufacturing Engineering partners and junior to principal AI engineers.

The role emphasizes designing scalable, end-to-end AI systems, evaluating new techniques, and delivering innovative production-ready solutions in a collaborative, cross-functional environment.

Qualifications

• Master's degree in Computer Engineering or Data Science is required.
• In-depth software development experience.
• Extensive experience training, testing, and deploying deep learning models for vision.
• Proficiency with PyTorch, TensorFlow, and/or Keras.
• 8+ years of software engineering experience.
• 6+ years in AI/ML or data science.
• Experience with Ops, MLOps, or LLMOps.
• 4+ years of deep learning vision experience.

Responsibilities

• Define and drive adoption of GM Manufacturing AI capabilities.
• Identify opportunities to improve AI and Robotics processes with Manufacturing Engineering SMEs.
• Design and develop ML solutions for real-world environments.
• Develop and implement computer vision solutions in production settings.
• Interpret research into deployable software, conduct simulations.
• Develop data visualization solutions.
• Design scalable systems with minimal operational overhead.
• Ensure architecture-aligned end-to-end system understanding.

Skills

Software development

AI/ML expertise

Deep learning (vision)

MLOps/LLMOps

Collaboration & leadership

Data science

Education

Master's degree in Computer Engineering or Data Science

Tools

Docker

Kubernetes

HPC platforms

PyTorch

TensorFlow

Keras

Java

C#

Python

SQL

C/C++

Job description

Staff Software Engineer – Artificial Intelligence

General Motors |

General Motors | Posted Mar 9

Full-time

Austin

Negotiable

Unknown

Job Description

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 You'll 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 applicationsInterpret 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):

• Master's 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):

Benefits:

• 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 paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
  • The salary range for this role is 160,200 to 333,400. 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.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). 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.

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

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About the company

General Motors