Member of technical staff (Infrastructure) Job at H Company (Paris)

Member of Technical Staff, AI Training Infrastructure

As a Training Infrastructure Engineer, you'll design, build, and optimize the in...

Location

United States , San Mateo

Salary:

175000.00 - 220000.00 USD / Year

Fireworks AI

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience
3+ years of experience with distributed systems and ML infrastructure
Experience with PyTorch
Proficiency in cloud platforms (AWS, GCP, Azure)
Experience with containerization, orchestration (Kubernetes, Docker)
Knowledge of distributed training techniques (data parallelism, model parallelism, FSDP)

Job Responsibility

Design and implement scalable infrastructure for large-scale model training workloads
Develop and maintain distributed training pipelines for LLMs and multimodal models
Optimize training performance across multiple GPUs, nodes, and data centers
Implement monitoring, logging, and debugging tools for training operations
Architect and maintain data storage solutions for large-scale training datasets
Automate infrastructure provisioning, scaling, and orchestration for model training
Collaborate with researchers to implement and optimize training methodologies
Analyze and improve efficiency, scalability, and cost-effectiveness of training systems
Troubleshoot complex performance issues in distributed training environments

What we offer

meaningful equity in a fast-growing startup
comprehensive benefits package

Fulltime

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, Performance Optimization

We're looking for a Software Engineer focused on Performance Optimization to hel...

Location

United States , San Mateo

Salary:

175000.00 - 220000.00 USD / Year

Fireworks AI

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience
5+ years of experience working on performance optimization or high-performance computing systems
Proficiency in CUDA or ROCm and experience with GPU profiling tools (e.g., Nsight, nvprof, CUPTI)
Familiarity with PyTorch and performance-critical model execution
Experience with distributed system debugging and optimization in multi-GPU environments
Deep understanding of GPU architecture, parallel programming models, and compute kernels

Job Responsibility

Optimize system and GPU performance for high-throughput AI workloads across training and inference
Analyze and improve latency, throughput, memory usage, and compute efficiency
Profile system performance to detect and resolve GPU- and kernel-level bottlenecks
Implement low-level optimizations using CUDA, Triton, and other performance tooling
Drive improvements in execution speed and resource utilization for large-scale model workloads (LLMs, VLMs, and video models)
Collaborate with ML researchers to co-design and tune model architectures for hardware efficiency
Improve support for mixed precision, quantization, and model graph optimization
Build and maintain performance benchmarking and monitoring infrastructure
Scale inference and training systems across multi-GPU, multi-node environments
Evaluate and integrate optimizations for emerging hardware accelerators and specialized runtimes

What we offer

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

Fulltime

Member of Technical Staff – Backend

As a backend engineer at Inflection, you will own the platforms, systems, and se...

Location

United States , Palo Alto

Salary:

175000.00 - 350000.00 USD / Year

Inflection AI

Expiration Date

Until further notice

Requirements

5+ years of experience building and scaling backend systems for high-throughput applications
Fluent in building distributed systems with Python, Go, Rust, or similar languages
Comfortable with cloud-native architectures (e.g., Kubernetes, gRPC, Postgres, Redis, Kafka)
Owned backend services end-to-end—from design and implementation to deployment, monitoring, and debugging
Thrive in fast-paced environments where you can move quickly without sacrificing engineering rigor
Proactively improve tooling and infrastructure to support teammates’ workflows and reliability goals
Communicate clearly across disciplines and take pride in solving user-facing problems with clean backend solutions
Have a bachelor’s degree or equivalent in a related field to the offered position requirements

Job Responsibility

Design and implement scalable backend systems and APIs that power production LLM experiences, including agentic workflows, memory systems, and tool integrations
Build and operate high-availability infrastructure to support real-time inference, retrieval, and conversation pipelines
Develop internal platforms to improve engineering productivity—CI/CD pipelines, service templates, observability frameworks, and rollout tooling
Collaborate closely with applied research and frontend teams to rapidly prototype, ship, and iterate on end-user features
Ensure systems meet our high bar for security, uptime, and latency—through incident response, load testing, monitoring, and automation
Participate in on-call rotations to maintain the reliability of the services you build

What we offer

Diverse medical, dental and vision options
401k matching program
Unlimited paid time off
Parental leave and flexibility for all parents and caregivers
Support of country-specific visa needs for international employees living in the Bay Area
Competitive stock options

Member of Technical Staff - Platform Engineer

Platform Engineer to join our team building backend infrastructure for new ML-po...

Location

United States , Palo Alto

Salary:

175000.00 - 350000.00 USD / Year

Inflection AI

Expiration Date

Until further notice

Requirements

Backend engineering experience with Python, TypeScript, or Node.js
Hands-on experience working with production PyTorch models, model checkpoints, and inference logic
Strong knowledge of building APIs and services that are scalable, stable, and secure
Passion for bridging backend engineering and ML systems, especially at the infrastructure layer
Familiarity with tools such as FastAPI, Postgres, Redis, Kubernetes, and React
Desire to be hands-on and contribute to shaping the foundation of a new enterprise ML product
Have a bachelor’s degree or equivalent in a related field to the offered position requirements

Job Responsibility

Build and maintain backend services to support LLM integration, inference orchestration, and data flow
Write clean, reliable Python code for experimentation, model integration, and production systems
Collaborate closely with ML researchers to rapidly iterate on product ideas and deploy features
Design and implement infrastructure to handle scalable inference workloads and enterprise-level use cases
Own system components and ensure reliability, observability, and maintainability from day one

What we offer

Diverse medical, dental and vision options
401k matching program
Unlimited paid time off
Parental leave and flexibility for all parents and caregivers
Support of country-specific visa needs for international employees living in the Bay Area
Competitive stock options

Resident Engineer Staff

Resident Engineer role focused on managing onsite delivery, post-sales or servic...

Location

Turkey , Istanbul

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree preferred or Associate degree holder (technical field)
6-8 years working experience in related fields
In-depth knowledge of company and industry standard networked computing environments, operating systems, and applications
In-depth knowledge of implementation and technical support of networking products in LAN, WAN, or Internet services environments
Detailed technical experience in installation and operation of IP Routers Switches and Firewalls
Hands-on operation of management tools and network analyzers
TCP/IP fundamentals
IP subnetting and supernetting and hierarchical routing principles
Routing protocol operation (OSPF and BGP)
Routing policies at BGP peering points

Job Responsibility

Apply deep technical background to operate critical technology areas
Integrate technical knowledge and business understanding to create customer solutions
Mentor/consult with team members, customers, and vendors
Act as consultant in service delivery business
Resolve technical and business incidents
Deliver strategic account support
Develop and grow customer account relationships
Act as trusted advisor for customer and sales teams
Design and deliver support solutions
Create and deliver Value Based Delivery account plans

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing

Fulltime

New

Senior Member of technical staff (Infrastructure)

About the Team: The Infrastructure team aims to make it seamless for our researc...

Location

United Kingdom; France , London; Paris

Salary:

Not provided

H Company

Expiration Date

Until further notice

Requirements

Infrastructure as code (CDK, Terraform, ...)
Experience architecting and deploying distributed systems on public cloud (AWS, Azure, GCP)
Observability and monitoring (Datadog, Prometheus, Grafana, …)
Good knowledge of a modern programming language (ideally Python or JS/Typescript)

Job Responsibility

Designing and managing the infrastructure to support Research efforts in Model and Agent development incl. training infrastructure, data pipelines and inference
Designing and managing the infrastructure to support Product Engineering efforts on H Company’s agent platform including client-facing APIs and agent runtimes within various deployment scenarios (multi-tenant and on-prem)
Setup and maintain observability and monitoring strategies
Mentor and grow other engineers in infrastructure-related topics as well as general engineering practices

What we offer

Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups
Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment
Enjoy a competitive salary
Unlock opportunities for professional growth, continuous learning, and career development

Fulltime

Power BI - SSRS Developer

The primary objectives of this engagement are to provide business analysis, data...

Location

United States , Exton

Salary:

Not provided

Ocean Blue Solutions

Expiration Date

Until further notice

Requirements

Minimum of 3 years analyzing business needs and processes and formalizing system requirements
Minimum of 3 years analyzing data and utilizing reporting tools such as Microsoft SQL Reporting Services and Power BI
Healthcare industry (focus on health information technology)
Familiarity with laboratory practices (clinical and/or public health laboratory)
Familiarity with standardized nomenclatures (LOINC, SNOMED, etc.) used in communicating test orders and results electronically
Experience in troubleshooting issues in a rapidly changing environment
Proficiency with Microsoft reporting tools such as SQL Server Reporting Services and Power BI
Proficiency with Microsoft Office Suite, SharePoint, and Visio
Ability to analyze business needs and formalize as system requirements
Ability to work as team member and leader

Job Responsibility

Provide analysis and support for LIMS and general BOL data exchange initiatives and existing processes between BOL and internal and external partners
Provide analysis and support for laboratory specific reporting between various health systems and public and private health organizations
Create and maintain business and technical requirements, process, and workflow documentation related to data exchange, reporting, and other laboratory software development projects and initiatives as assigned
Communicate laboratory system or business process needs with multiple business partners to include, IT staff, Epidemiologists, Health program staff, NEDSS technical staff, etc.
Provide onboarding/offboarding support for various laboratory systems
Provide miscellaneous onsite technical assistance to all Divisions within BOL
Assist bioinformatician with IT infrastructure needs
Assist HHSDC technical staff with internal software development and infrastructure projects as needed
Act as liaison between BOL, HHSDC, and external IT vendors
Ensure deliverable compliance with all Commonwealth, DOH, BOL, and HHSDC, standards and procedures

Member of technical staff (Infrastructure)

H Company

Location:
France; United Kingdom , Paris ▼
London

Category:
IT - Administration

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 21, 2026

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