We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?
We are seeking a highly skilled and motivated AI/ML Systems Engineer to join our growing team. You will be responsible for designing, building, and maintaining our HPC infrastructure and user-facing tooling, ensuring optimal performance and reliability for our critical AI/ML applications. This role also has a large focus on software development and interacting with consumers of the platform. If you are interested to engage with every part of the HPC stack ranging from the servers to the data scientists using them, this position could be a good fit for you.
You'll have...
Bachelor's degree in Computer Science, Engineering, or a related field.
3-5+ years of experience in Systems or Software engineering
Strong understanding of Linux operating systems, preferably in an HPC environment
Proficiency programming in one or more languages, preferably go, python, or bash scripting.
Familiarity with how to scale applications and the metrics collection, analysis, and visualization tools used to identify bottlenecks like Prometheus and Grafana.
Excellent problem-solving and troubleshooting skills. The ability to define what problems need to be solved.
Strong communication and collaboration skills.
Even better, you may have...
Experience with containerization technologies like Docker or Kubernetes.
Familiarity with AI/ML frameworks such as Pytorch, Tensorflow, or Ray.
Experience with automation tools like Ansible, Puppet, or Chef.
Experience with monitoring tools like Prometheus, Icinga, Zabbix, Nagios, or similar.
Experience with cloud platforms like GCP, AWS or Azure.
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here:
https://fordcareers.co/GSR-HTHD
This position is a salary grade 7.
Visa sponsorship is available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
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What you'll do...
Design, implement, and maintain a robust and scalable HPC infrastructure to support containerized AI/ML workloads across traditional HPC and Kubernetes environments.
Develop CLI tooling and API’s that customers consume to streamline access to HPC infrastructure.
Troubleshoot and resolve complex technical issues related to Linux systems, networking, storage, and AI/ML HPC applications.
Develop and maintain documentation for software and procedures.
Collaborate with software engineers and researchers to ensure seamless integration of HPC resources and scaling of applications.
Stay up-to-date on the latest advancements in HPC and AI/ML technologies and best practices.