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Manager Nvidia Autonomous Driving Jobs in Kansas

Nebius

... NVIDIA, AWS, Azure, and Google Cloud providers. * Strong project management skills, with the ... Proven experience mentoring technical teams and driving team growth. * Expertise in stakeholder ...

zTrip zShuttle

Business Development Manager

Leawood, KS · Hybrid

$55K - $65K/yr

... driving business growth. - Excellent interpersonal and communication skills, with the ability to ... to work autonomously and collaboratively in a fast-paced environment. **What We Offer ...

Wood Plc

Software Development Engineer

Topeka, KS · On-site +1

Support project managers in the development of custom applications to improve process efficiencies ... NVIDIA, CUDA Python, PyCUDA, etc.) * Field Collection/Mobile Applications (IOS, Android, etc.) and ...

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Manager Nvidia Autonomous Driving information

What is the difference between Manager Nvidia Autonomous Driving vs Software Engineer Nvidia Autonomous Driving?

AspectManager Nvidia Autonomous DrivingSoftware Engineer Nvidia Autonomous Driving
Required CredentialsBachelor's/Master's in Engineering, Management experienceBachelor's/Master's in Computer Science or related field
Work EnvironmentTeam leadership, project management, cross-functional collaborationSoftware development, coding, testing, debugging
Employer & Industry UsageAutomotive tech companies, Nvidia, autonomous vehicle industryTech companies, Nvidia, autonomous vehicle projects

The main difference is that the Manager Nvidia Autonomous Driving oversees teams and projects related to autonomous vehicle technology, focusing on leadership and coordination. In contrast, the Software Engineer Nvidia Autonomous Driving is primarily involved in coding and developing the software components. Both roles require technical expertise, but the manager role emphasizes project management and team oversight.

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Manager Nvidia Autonomous Driving jobs near you
Infographic showing various Manager Nvidia Autonomous Driving job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Customer Engineer

Nebius

Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 26 days ago

Job description

The role

We are looking for a Customer Engineer to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You're welcome to work remotely from the United States.

Your responsibilities will include:

  • Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues.
  • Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
  • Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
  • Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
  • Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

  • Experience: 5+ years in roles like Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
  • Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
  • Experience with Kubernetes and Python programming.
  • Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
  • Customer-centric approach with a proven ability to build trust and foster long-term relationships.
  • Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

  • Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
  • Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
  • Proven experience mentoring technical teams and driving team growth.
  • Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

Key Employee Benefits:

  • Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
  • 401(k) Plan: Up to 4% company match with immediate vesting.
  • Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
  • Remote Work Reimbursement: Up to $85/month for mobile and internet.
  • Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Join Nebius Today!

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