Member of Technical Staff, AI Networking Job at Microsoft Corporation (Mountain View)

Member of Technical Staff, Cloud Infrastructure

As a Software Engineer on our Cloud Infrastructure team, you'll be at the forefr...

Location

United States , New York, NY; San Mateo, CA; Redwood City, CA

Salary:

175000.00 - 220000.00 USD / Year

Fireworks AI

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
5+ years of experience designing and building backend infrastructure in cloud environments (e.g., AWS, GCP, Azure)
Proven experience in ML infrastructure and tooling (e.g., PyTorch, TensorFlow, Vertex AI, SageMaker, Kubernetes, etc.)
Strong software development skills in languages like Python, or C++
Deep understanding of distributed systems fundamentals: scheduling, orchestration, storage, networking, and compute optimization

Job Responsibility

Architect and build scalable, resilient, and high-performance backend infrastructure to support distributed training, inference, and data processing pipelines
Lead technical design discussions, mentor other engineers, and establish best practices for building and operating large-scale ML infrastructure
Design and implement core backend services (e.g., job schedulers, resource managers, autoscalers, model serving layers) with a focus on efficiency and low latency
Drive infrastructure optimization initiatives, including compute cost reduction, storage lifecycle management, and network performance tuning
Collaborate cross-functionally with ML, DevOps, and product teams to translate research and product needs into robust infrastructure solutions
Continuously evaluate and integrate cloud-native and open-source technologies (e.g., Kubernetes, Ray, Kubeflow, MLFlow) to enhance our platform’s capabilities and reliability
Own end-to-end systems from design to deployment and observability, with a strong emphasis on reliability, fault tolerance, and operational excellence

What we offer

Meaningful equity in a fast-growing startup
Competitive salary
Comprehensive benefits package

Fulltime

Member of Technical Staff, Capacity & Efficiency Infrastructure

Microsoft AI is looking for a Member of Technical Staff – Capacity & Efficiency ...

Location

United States , Mountain View

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Deep understanding of the fundamentals of GPU architectures and DL/LLM architectures
Deep experience in profiling and analyzing performance in large-scale distributed computing systems
Deep experience in profiling and analyzing performance in ML models especially GenAI models
Experience with low-level GPU programming (CUDA, Triton, NCCL) and frameworks such as PyTorch or JAX
Experience in leading technical projects and supporting architectural decisions with data
Experience building infrastructure for large-scale machine learning or generative AI workloads
Experience in networking (InfiniBand, NVLink), storage systems, or distributed training parallelisms
Track record of contributing to high-performance computing or large-scale AI infrastructure projects

Job Responsibility

Design, implement, test, and optimize distributed training infrastructure in Python and C++ for large-scale GPU clusters
Build and evolve telemetry systems to provide visibility into infrastructure & ML model performance, utilization, and cost related metrics
Profile, benchmark, and debug performance bottlenecks across compute, memory, networking, and storage subsystems
Drive architectural improvements across various ML services which deliver measurable efficiency improvements
Build and evolve tools to automatically provide insights and recommendations to improve fleet-wide efficiency
Optimize collective communication libraries (e.g., NCCL) for emerging NVLink and InfiniBand topologies
Partner with ML researchers and infrastructure engineers to understand their plans and future needs and develop plans to balance growth with efficiency
Collaborate with hardware teams to optimize for next-generation accelerators (NVIDIA, MAIA, and beyond)
Embody our Culture and Values

Fulltime

Member of Technical Staff - GPU Infrastructure

Prime Intellect is building the open superintelligence stack - from frontier age...

Location

United States , San Francisco

Salary:

Not provided

Prime Intellect

Expiration Date

Until further notice

Requirements

3+ years hands-on experience with GPU clusters and HPC environments
Deep expertise with SLURM and Kubernetes in production GPU settings
Proven experience with InfiniBand configuration and troubleshooting
Strong understanding of NVIDIA GPU architecture, CUDA ecosystem, and driver stack
Experience with infrastructure automation tools (Ansible, Terraform)
Proficiency in Python, Bash, and systems programming
Track record of customer-facing technical leadership
NVIDIA driver installation and troubleshooting (CUDA, Fabric Manager, DCGM)
Container runtime configuration for GPUs (Docker, Containerd, Enroot)
Linux kernel tuning and performance optimization

Job Responsibility

Partner with clients to understand workload requirements and design optimal GPU cluster architectures
Create technical proposals and capacity planning for clusters ranging from 100 to 10,000+ GPUs
Develop deployment strategies for LLM training, inference, and HPC workloads
Present architectural recommendations to technical and executive stakeholders
Deploy and configure orchestration systems including SLURM and Kubernetes for distributed workloads
Implement high-performance networking with InfiniBand, RoCE, and NVLink interconnects
Optimize GPU utilization, memory management, and inter-node communication
Configure parallel filesystems (Lustre, BeeGFS, GPFS) for optimal I/O performance
Tune system performance from kernel parameters to CUDA configurations
Serve as primary technical escalation point for customer infrastructure issues

Fulltime

Technical Specialist (Teaching Technologist)

Recognised as a technical specialist in Immersive technology, this post will con...

Location

India , Mumbai

Salary:

Not provided

Emeritus

Expiration Date

Until further notice

Requirements

Current specialist knowledge and refined skills in immersive technologies, interactive and immersive media production
significant experience in tools for creating virtual reality and augmented reality, building virtual environments and interactions
Knowledge of using games engines (Unity or Unreal) to develop for Immersive projects
Knowledge of 360 video and 3D graphics for VR
3D Animation/ Modelling and design (Maya, Blender)
Thorough knowledge of digital/interactive media software (e.g. DaVinci Resolve, FCP, Premiere, Touch Designer, Stornoway), and AI tools for XR creation
Knowledge of analogue and digital sound and spatial audio for VR and Immersive projects
Knowledge of Motion Capture, 3D scanning and photogrammetry
Detailed, current knowledge, skills and experience of XR hardware, such as Meta Quest VR headsets, mobile handsets, including system setup, troubleshooting, and maintenance, platforms like SteamVR and Oculus SDK for managing VR hardware
expertise with specialist equipment like 360 cameras and ambisonic microphones

Job Responsibility

Apply professional expertise in the design of stimulating learning solutions
Provide specialist guidance and support to students, staff or other technical staff in the utilisation of virtual reality, augmented reality, mixed reality, and motion capture environments, development tools, and related technologies, to enable excellent teaching and learning for all types of students
Use specialist experience to provide services, guidance, troubleshooting, support and training to students conducting creative immersive projects or research studies
Provide workshops and project support across a range of units and particular guidance will be needed as students develop blended or virtual performance and immersive pieces or need to submit sketches and show the process of design work
Proactively engage in academic and pastoral student support procedures, provide direct support and/or making referrals to the wider University support network as appropriate
Collaborate with Unit and Programme Directors in the design and delivery of teaching within labs or other teaching space(s)
Work with key stakeholders (e.g Unit and Programme Directors) to provide specialist solutions in the planning, design and delivery of practical teaching
Deliver teaching and develop physical and digital teaching resources
Respond independently using initiative and judgement to find solutions and take action
Maintain awareness of developments and changes in immersive technologies and media

Fulltime

Member of Technical Staff - Data Engineer

As Microsoft continues to push the boundaries of AI, we are on the lookout for i...

Location

United States , New York

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work
OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work
OR equivalent experience
4+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including, but not limited to, Python, Java, Spark, SQL
Experience working with Apache Hadoop eco system, Kafka, NoSQL, etc
3+ years experience with data governance, data compliance and/or data security
2+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc
2+ years' experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking
Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience
Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security

Job Responsibility

Build scalable data pipelines for sourcing, transforming and publishing data assets for AI use cases
Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation data platform products and services
Ship high-quality, well-tested, secure, and maintainable code
Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively
Enjoy working in a fast-paced, design-driven, product development cycle
Embody our Culture and Values

Fulltime

Member of Technical Staff - Backend Engineer

Microsoft AI is looking for a talented Backend engineer to help build the next w...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
4+ years' experience building backend API for mobile apps such as GraphQL/Rest APIs/Protobuf/Thrift, and streaming protocols such as websocket/SSE/WebRTC with familiarity in backend and mobile data schema code generation or consistency, version control for mobile releases, analytics, feature flags, a/b testing framework
4+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc
4+ years' experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking

Job Responsibility

Build secure and performant APIs that power Copilot apps
Work collaboratively with other product engineers, Product Managers, and platform engineers to take ambiguous projects and mold them into amazing experiences
Ship high-quality, well-tested, secure, and maintainable code
Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively
Enjoy working in a fast-paced, design-driven, product development cycle
Embody our Culture and Values

Fulltime

Member of Technical Staff, High Performance Computing Engineer

Microsoft AI is looking for experienced Member of Technical Staff, High Performa...

Location

United Kingdom , London

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, or related technical field AND 4+ years technical engineering experience with deploying or operating on-premise or cloud high-performance clusters
4+ years experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.)
4+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP
OR equivalent experience

Job Responsibility

Design, operate, and maintain large-scale HPC environments
Own the deployment, configuration, and day-to-day operation of HPC schedulers (e.g., SLURM, Kubernetes)
Serve as a technical owner for at least one core HPC domain (GPU compute, high-performance storage, networking, or similar)
Develop and maintain automation and tooling using Bash and/or Python
Partner closely with researchers and engineers to support their workloads, troubleshoot cluster usage issues, and triage failed or underperforming jobs
Drive work forward independently by navigating ambiguity and technical roadblocks
Enjoy working in a fast-paced, design-driven product development environment
Embody our Culture and Values

Fulltime

Member of Technical Staff, Applied Research

The Applied Researcher role is designed for engineers who love working across ML...

Location

United States , San Mateo

Salary:

Not provided

Fireworks AI

Expiration Date

Until further notice

Requirements

BS/MS in Computer Science, Electrical Engineering, Machine Learning, or a related field, or equivalent practical experience, open to all levels of experiences
Strong experience with PyTorch and modern Transformer architectures
Solid computer science fundamentals: data structures, algorithms, concurrency, distributed systems, networking
Hands-on experience training, fine-tuning, or evaluating machine learning models, preferably LLMs
Familiarity with recent developments in the LLM research domain, including model architectures, training methods, and evaluation strategies
Passion for partnering with customers: understanding their constraints, co-designing solutions, and iterating based on real-world feedback
Curiosity and enthusiasm for exploring a wide range of problem domains and project types - from quick experiments to long-running, complex engagements
Ability to operate in a fast-paced, ambiguous environment and drive projects independently

Job Responsibility

Sit at the intersection of ML research, systems engineering, and customer-facing problem solving
Work hands-on with customers and customer data to tune, evaluate and deploy models using various techniques such as SFT / DPO / RL
Help customers build competitive models using their unique data tailored to their unique products
Be the technical bridge between customer needs, customer data, and our tuning and serving infrastructure

What we offer

Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation

Fulltime

Member of Technical Staff, AI Networking

Microsoft Corporation

Location:
United States , Mountain View

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 01, 2026

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Member of Technical Staff, AI Networking

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United States , Mountain View

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April 01, 2026