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Platform Engineer - Senior - US

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USD 136,000.00 - 177,000.00 per year

Job Details

Skills

Microsoft Excel
Snow Flake Schema
IDC
Life Sciences
Banking
Financial Services
Manufacturing
Energy
Telecommunications
LinkedIn
Data Science
Benchmarking
Management
Collaboration
Training
Red Hat Linux
Kubernetes
CUDA
Linux
Performance Tuning
Optimization
Generative Artificial Intelligence (AI)
Terraform
Ansible
Google Cloud
Google Cloud Platform
Microsoft Azure
Amazon Web Services
OCI
GPU
Machine Learning Operations (ML Ops)
Vector Databases
Customer Facing
HL7
Epic
HIPAA
Privacy
Workflow
Decision Support
Health Care
Innovation
Research
Patents
Artificial Intelligence
Machine Learning (ML)
Cloud Computing

Microsoft Excel
Snow Flake Schema
IDC
Life Sciences
Banking
Financial Services
Manufacturing
Energy
Telecommunications
LinkedIn
Data Science
Benchmarking
Management
Collaboration
Training
Red Hat Linux
Kubernetes
CUDA
Linux
Performance Tuning
Optimization
Generative Artificial Intelligence (AI)
Terraform
Ansible
Google Cloud
Google Cloud Platform
Microsoft Azure
Amazon Web Services
OCI
GPU
Machine Learning Operations (ML Ops)
Vector Databases
Customer Facing
HL7
Epic
HIPAA
Privacy
Workflow
Decision Support
Health Care
Innovation
Research
Patents
Artificial Intelligence
Machine Learning (ML)
Cloud Computing

Summary

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi:

Quantiphi is an award-winning, AI-First global digital engineering company that helps the world's leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies, we solve the problems that matter most to our clients.

Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.

Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters

We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:

21 Google Cloud Partner of the Year awards in the past 10 years
3 AWS AI/ML Partner of the Year awards
3 NVIDIA Partner of the Year awards
3 Snowflake Partner of the Year awards
Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms

Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.

We are also proud to be certified as a Great Place to Work, reflecting our commitment to our people and our culture.

For more details, visit: Website or Linkedin Page

Role:Senior - Platform Engineer

Experience Level: 5+ yrs

Work Location:East/Canada [ET & CT]

Role Overview:

We are looking for a highly skilled Architect - Platform Engineer to design, optimize, and scale infrastructure for GenAI and LLM workloads. This role is ideal for someone with deep hands-on experience in GPU profiling, distributed training, and high-performance compute environments.

You'll play a key role in building out GenAI platform foundations, supporting production-grade deployments, and partnering closely with data science, MLOps, and application teams to bring cutting-edge AI solutions to life.

Key Responsibilities:

Design and implement scalable infrastructure for LLM and GenAI workloads across multi-GPU environments
Perform GPU profiling, benchmarking, and performance optimization for distributed training workloads
Manage and schedule compute-intensive jobs using Slurm-based clusters and OpenShift/Kubernetes environments
Enable and optimize the NVIDIA GPU stack (CUDA, cuDNN, NCCL, Triton, RAPIDS, etc.)
Collaborate with cross-functional teams to deploy models in research and production environments
Build and support GenAI pipelines (fine-tuning, RAG, multi-modal inferencing, LLMOps)
Develop reusable infrastructure templates using tools like Terraform and Helm
Contribute to internal innovation (PoCs, workshops) and support client-facing delivery engagements

Basic Qualifications:

Strong experience with Slurm and distributed training environments
Hands-on expertise with Red Hat OpenShift and/or Kubernetes
Deep knowledge of the NVIDIA GPU ecosystem (CUDA, cuDNN, NCCL, Nsight, Triton/TensorRT)
Strong foundation in Linux systems, performance tuning, and multi-GPU optimization
Experience deploying GenAI workloads (LLM fine-tuning, RAG pipelines, multi-modal systems)
Familiarity with Infrastructure-as-Code tools (Terraform, Ansible)
Experience with cloud GPU environments (Google Cloud Platform, Azure, AWS, OCI) and/or on-prem GPU clusters

Other Qualifications (OQs):

Experience with NVIDIA NIMs, DGX systems, or GPU-accelerated containers
Knowledge of LLMOps frameworks and MLOps integration
Familiarity with vector databases and retrieval systems for RAG architectures
Comfortable working in client-facing environments and collaborating with AI solution teams

Healthcare Domain Experience (Nice to Have):

Experience working with FHIR R4, HL7 v2, or SMART on FHIR
Integration with EHR systems (e.g., Epic)
Understanding of HIPAA compliance and healthcare data privacy
Exposure to clinical workflows, CDS Hooks, or patient-facing applications
Experience building clinical decision support systems or healthcare interoperability solutions

What's in it for YOU at Quantiphi:

Make an impact at one of the world's fastest-growing AI-first digital engineering companies.
Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
Stay ahead of the curve, immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91021860
Position Id: 1d557520d027f21424be525c2fd6d700
Posted 4 days ago

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Job Details

Skills

Microsoft Excel
Snow Flake Schema
IDC
Life Sciences
Banking
Financial Services
Manufacturing
Energy
Telecommunications
LinkedIn
Data Science
Benchmarking
Management
Collaboration
Training
Red Hat Linux
Kubernetes
CUDA
Linux
Performance Tuning
Optimization
Generative Artificial Intelligence (AI)
Terraform
Ansible
Google Cloud
Google Cloud Platform
Microsoft Azure
Amazon Web Services
OCI
GPU
Machine Learning Operations (ML Ops)
Vector Databases
Customer Facing
HL7
Epic
HIPAA
Privacy
Workflow
Decision Support
Health Care
Innovation
Research
Patents
Artificial Intelligence
Machine Learning (ML)
Cloud Computing

Microsoft Excel
Snow Flake Schema
IDC
Life Sciences
Banking
Financial Services
Manufacturing
Energy
Telecommunications
LinkedIn
Data Science
Benchmarking
Management
Collaboration
Training
Red Hat Linux
Kubernetes
CUDA
Linux
Performance Tuning
Optimization
Generative Artificial Intelligence (AI)
Terraform
Ansible
Google Cloud
Google Cloud Platform
Microsoft Azure
Amazon Web Services
OCI
GPU
Machine Learning Operations (ML Ops)
Vector Databases
Customer Facing
HL7
Epic
HIPAA
Privacy
Workflow
Decision Support
Health Care
Innovation
Research
Patents
Artificial Intelligence
Machine Learning (ML)
Cloud Computing

Summary

21 Google Cloud Partner of the Year awards in the past 10 years
3 AWS AI/ML Partner of the Year awards
3 NVIDIA Partner of the Year awards
3 Snowflake Partner of the Year awards
Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms

Design and implement scalable infrastructure for LLM and GenAI workloads across multi-GPU environments
Perform GPU profiling, benchmarking, and performance optimization for distributed training workloads
Manage and schedule compute-intensive jobs using Slurm-based clusters and OpenShift/Kubernetes environments
Enable and optimize the NVIDIA GPU stack (CUDA, cuDNN, NCCL, Triton, RAPIDS, etc.)
Collaborate with cross-functional teams to deploy models in research and production environments
Build and support GenAI pipelines (fine-tuning, RAG, multi-modal inferencing, LLMOps)
Develop reusable infrastructure templates using tools like Terraform and Helm
Contribute to internal innovation (PoCs, workshops) and support client-facing delivery engagements

Basic Qualifications:

Strong experience with Slurm and distributed training environments
Hands-on expertise with Red Hat OpenShift and/or Kubernetes
Deep knowledge of the NVIDIA GPU ecosystem (CUDA, cuDNN, NCCL, Nsight, Triton/TensorRT)
Strong foundation in Linux systems, performance tuning, and multi-GPU optimization
Experience deploying GenAI workloads (LLM fine-tuning, RAG pipelines, multi-modal systems)
Familiarity with Infrastructure-as-Code tools (Terraform, Ansible)
Experience with cloud GPU environments (Google Cloud Platform, Azure, AWS, OCI) and/or on-prem GPU clusters

Other Qualifications (OQs):

Experience with NVIDIA NIMs, DGX systems, or GPU-accelerated containers
Knowledge of LLMOps frameworks and MLOps integration
Familiarity with vector databases and retrieval systems for RAG architectures
Comfortable working in client-facing environments and collaborating with AI solution teams

Healthcare Domain Experience (Nice to Have):

Experience working with FHIR R4, HL7 v2, or SMART on FHIR
Integration with EHR systems (e.g., Epic)
Understanding of HIPAA compliance and healthcare data privacy
Exposure to clinical workflows, CDS Hooks, or patient-facing applications
Experience building clinical decision support systems or healthcare interoperability solutions

What's in it for YOU at Quantiphi:

Make an impact at one of the world's fastest-growing AI-first digital engineering companies.
Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
Stay ahead of the curve, immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Dice Id: 91021860
Position Id: 1d557520d027f21424be525c2fd6d700
Posted 4 days ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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