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Parallel Domain
5+ YOECandidates need 5+ years in SRE, DevOps or infrastructure engineering, with hands-on work on production systems across regions. Strong skills in Terraform, AWS, Kubernetes, CI/CD, networking and scripting in Python or Bash are required, and experience with Windows workloads is a plus.
Terraform, AWS, Kubernetes, Helm, Kustomize, ArgoCD
Urban Ridge Supplies
3+ YOECandidates need 3+ years of software engineering experience, including 2+ years building production AI/ML or generative AI solutions. They need hands-on experience with LLMs, RAG, classical ML and deep learning, MLOps, and Azure cloud, plus strong SQL and clear communication with non-technical stakeholders.
Azure AI Foundry, Azure OpenAI, Copilot Studio, MLflow, Kubeflow, Databricks
Urban Ridge Supplies
3+ YOECandidates need 3 to 6 years in pre-sales engineering, solutions architecture or customer-facing engineering in AI, cloud or developer tooling. They must write Python, understand LLM inference serving and open-model ecosystems, and communicate well in writing and in meetings.
Python, Kubernetes, Hugging Face, vLLM, SGLang, TensorRT-LLM
Urban Ridge Supplies
3+ YOECandidates need 3 to 6 years in pre-sales engineering, solutions architecture or customer-facing engineering, with hands-on Python skills. They should know LLM inference serving, open-model ecosystems, containers and Kubernetes.
Python, Kubernetes, HubSpot, Hugging Face, vLLM, SGLang
Fortive
8+ YOECandidates need a B.S. in Computer Science or equivalent experience, 8+ years in cloud infrastructure or SRE work, and 5+ years of hands-on AWS architecture. Strong Terraform, Kubernetes, CI/CD, scripting and compliance (SOC 2, ISO 27001, GDPR) experience is required.
AWS, Terraform, Kubernetes, Docker, GitHub Actions, Octopus Deploy
NexGen Cloud: Founded in 2020, NexGen Cloud builds and operates the cloud platforms that enterprises and AI teams rely on - with sovereignty, compliance, and…
Candidates need hands-on experience racking, stacking and building servers in data centres, plus extensive Linux administration and a solid grasp of networking and storage. They must manage hardware RMAs end-to-end and be willing to work on site at the data centres.
OpenStack, Kubernetes, Linux, NVIDIA GPU hardware, IPMI, iDRAC
Tiger Analytics Inc.
Candidates need advanced Google Cloud and Vertex AI skills, hands-on experience with LLM frameworks, vector databases and model serving, and strong Python. They must also be able to explain AI limits to clients and travel to client sites.
Vertex AI, Google Kubernetes Engine, Terraform, Google Cloud SDK, LangChain, LlamaIndex
Tiger Analytics Inc.
Candidates need hands-on experience with LLM frameworks, vector databases, model serving and multi-cloud infrastructure, plus strong Python skills. Travel to client sites is required.
Terraform, OpenTofu, Kubernetes, LangChain, LlamaIndex, AutoGen
Aon Corporation
8+ YOECandidates need a bachelor's degree or equivalent in an analytical field and more than 8 years of quantitative, actuarial, data science or technical client-facing experience. Strong Python skills, clear communication and the ability to coordinate across teams are essential, and C# or C++ is an asset.
Python, C#, C++, GPU-enabled processing
CoreWeave
7+ YOECandidates need 7+ years of B2B sales, including 3+ years selling to enterprises of 5,000+ employees and 3+ years selling developer tools, cloud infrastructure or AI software. A proven record of self-sourced pipeline and closing new logos is required.
ML, Presentation skills, Sales, Negotiation, Procurement, Forecasting
Yotta Labs
Yotta Labs needs candidates currently enrolled in a BS, MS or PhD program in computer science or computer engineering. They should have solid Python skills, some C++ knowledge, and experience writing GPU kernels from coursework or personal projects.
CUDA, Triton, ROCm, Neuron SDK, PyTorch, vLLM
Yotta Labs
Candidates need strong Python and C++ skills, deep GPU architecture knowledge and experience with CUDA, Triton, ROCm or AWS Neuron. A background in computer science or engineering is preferred, along with the ability to work collaboratively in a remote team.
CUDA, Triton, ROCm, AWS Neuron SDK, PyTorch, Nsight
Yotta Labs
5+ YOECandidates need a bachelor's degree or higher in a technical field, 3+ years in systems engineering or DevOps, and 5+ years in cloud-native or AI engineering. Hands-on Kubernetes multi-cluster experience, Docker, Prometheus and Grafana are required.
Kubernetes, Helm, kubectl, Docker, Prometheus, Grafana
Serve Robotics: Serve Robotics (NASDAQ:SERV) develops advanced, AI-powered, low-emissions sidewalk delivery robots that endeavor to make delivery sustainable and…
5+ YOECandidates need a Master's or PhD in a technical field and at least 5 years of experience training and deploying machine learning models in production. Strong Python skills and hands-on experience training models across multiple GPUs or nodes are required.
Python, GPU clusters
Quora
Quora needs a 2025 or 2026 graduate with or pursuing a technical degree. Candidates should know Python, Go or C++, or learn them quickly, and show genuine interest in large-scale systems and machine learning. Availability during Quora's Pacific-time coordination hours is required.
PyTorch, Kubernetes, NVIDIA Triton, Ray, AWS, Docker
Baseten
3+ YOECandidates need 3+ years building distributed systems or large-scale backend APIs, with experience in low-latency services, observability and performance profiling. Kubernetes, GPU workloads and LLM inference experience are assets, but prior ML experience is not required.
Kubernetes, GPU, vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo
Baseten
Candidates need a bachelor's, master's or PhD in a technical field, experience with Python or C++, and familiarity with LLM optimization and ML libraries such as PyTorch or TensorRT. They also need a deep understanding of GPU architecture and demonstrated interest in LLMs.
PyTorch, TensorRT, TensorRT-LLM, vLLM, SGLang, CUDA
Baseten
Candidates need extensive hands-on Kubernetes experience, ideally across several clouds, and experience building scalable infrastructure. Strong observability skills, infrastructure-as-code and incident management experience are expected. No prior machine learning experience is required.
Kubernetes, EKS, GKE, Prometheus, VictoriaMetrics, Grafana
HeyGen
Candidates need a Bachelor's or Master's in computer science, engineering or a related field, plus proven experience running infrastructure for large-scale AI or machine learning projects. Strong Python skills and familiarity with TensorFlow or PyTorch are required.
Python, TensorFlow, PyTorch
ProCogia: ProCogia is an AI-first business solutions consulting firm helping organizations move from ambitious AI ideas to governed, production-ready outcomes.
Candidates need strong Python skills, hands-on machine learning or deep learning experience, and a working understanding of transformer models and NLP. They must be full-time students at a Canadian post-secondary institution and legally entitled to work in Canada.
PyTorch, Hugging Face Transformers
ProCogia: ProCogia is an AI-first business solutions consulting firm helping organizations move from ambitious AI ideas to governed, production-ready outcomes.
ProCogia needs a final-year Bachelor's or current Master's student in computer science, engineering, IT or data science. Candidates should know Linux, Git, Docker and cloud basics and have some scripting experience in Python, Bash or similar.
AWS, Docker, Kubernetes, Terraform, Linux, Git
15 companies