2519 IT & Software Developer jobs in the US
Requirements
Must:
- 8-12+ years in AI engineering, solutions architecture, developer relations, or partner engineering
- Strong technical expertise in AI/ML solution architecture, including:
- Model training and inference methodologies
- AI Frameworks (PyTorch, TensorFlow, Triton, ONNX Runtime)
- AI runtimes and acceleration libraries (CUDA, cuDNN, TensorRT)
- Containerization and orchestration (Docker, Kubernetes, Slurm, OpenShift AI)
- Proven experience in deploying and validating workloads across complete infrastructure stacks (compute, GPU, networking, storage, observability)
- Experience collaborating with or supporting software partners or developers in a technical role
- Exceptional ability to convey complex technical ideas to both engineering and business stakeholders
- Capability to navigate across various teams and oversee partner-facing technical programs from start to finish
- Bachelors degree in Computer Science, Computer Engineering, Data Science, or similar field; Masters degree preferred
- Experience with Full AI Solutions Stacks, Infrastructure Automation, or similar enterprise AI platforms (NVIDIA DGX, AWS SageMaker, GKE, Azure ML)
- Background in Software Development, Developer Relations, Technical Evangelism, or Technical Partner Management is an added advantage
Responsibilities
- Lead the technical onboarding and enablement of AI ISV partners, acting as the main technical liaison
- Offer hands-on guidance for AI full stack architecture and validation, working directly within partner environments
- Create and enhance Dell Automation Platform blueprints to provide guidance for scalable and repeatable AI deployments
- Optimize programs and processes, streamlining partner validation timelines through improved workflows and automation
- Collaborate across teams including Product, Engineering, Solutions, and Partner teams to ensure partner capabilities align with Dells AI strategy and advocate for their needs
Description
At Dell Technologies, we are on the lookout for an AI Partner Technical Liaison who will be pivotal in connecting our company with Independent Software Vendors entering the Dell AI Technical Partner Program. This hands-on role focuses on facilitating a smooth technical journey for partners, aiding in onboarding, validation, and architectural reviews while ensuring compliance with our standards. We are based in Hopkinton, Massachusetts, and Round Rock, TX, and offer a rewarding career path with significant social impact. By joining our Product team, you will work with some of the brightest minds in technology, in an environment that promotes growth, collaboration, and innovation. We pride ourselves on fairness and equal opportunity in our workplace.
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You can find Machine Learning Engineer salaries in the United States here.
How many Machine Learning Engineer jobs are in the United States?
Currently, there are 2519 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the US a good place for Machine Learning Engineers?
The US is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Machine Learning Engineer jobs in the United States?
Jump, Sched LLC, PosiTrace, NaturalSoft, Airia Brands Inc, Mmoko Advanced Systems, DataAnnotation among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Boeing as they are hiring for 64 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Boeing as they are hiring for 64 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.