Design Engineer - AI Infrastructure Job at Meta (Menlo Park)

Software Engineer, AI Infrastructure

As a Software Engineer on our AI Infrastructure team, you will help design the c...

Location

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

Salary:

Not provided

Fireworks AI

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
3 years of experience in software engineering, with a focus on infrastructure or machine learning systems
Strong programming skills in Python, Go, or a similar language
Proven experience in ML infrastructure and tooling (e.g., PyTorch, MLflow, Vertex AI, SageMaker, Kubernetes, etc.)
Basic understanding of LLM knowledge (e.g., context length, disaggregated prefill, KV cache memory estimation, etc)

Job Responsibility

Contribute to the design and development of scalable backend infrastructure that supports distributed training, inference, and data pipelines
Build and maintain core backend services such as LLM CI/CD pipeline, control plane, and model serving systems
Support performance optimization, cost efficiency, and reliability improvements across compute, storage, and networking layers
Building frameworks and safeguards to ensure Fireworks AI has the best model quality in the industry
Collaborate with performance, training, and product teams to translate research and product needs into infrastructure solutions
Participate in code reviews, technical discussions, and continuous integration and deployment processes

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

Senior AI Infrastructure Engineer

This role will be responsible for designing, deploying, and maintaining high-per...

Location

United States , Bothell; Overland Park; Bellevue

Salary:

113600.00 - 205000.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

5+ years technical engineering experience, preferably in multiple technology focus areas
Expert understanding of AI/ML infrastructure components, or GPU-based systems – preferably in a high-availability, large scale environment
Hands-on Experience with NVIDIA DGX servers, BasePOD architectures, and advanced GPU technologies
Proficient in Linux/UNIX environments, including scripting/automation tools (Bash, Python, Ansible, Terraform)
Understanding of AI infrastructure security best practices
Experience with container orchestration (Kubernetes, Docker) and GPU workload management tools
Strong knowledge of networking (InfiniBand/Ethernet) and storage solutions in AI/ML contexts

Job Responsibility

Technical System Expertise: Understands system protocols, how systems operate and data flows
Technical Engineering Services: Drives engineering projects by active contribution to the application of engineering techniques
Innovation: Contributes to designs to implement new ideas which improve an existing and new system/process/service
Technical Writing: Writes basic documentation on how technology works
Technical Leadership: Collaborates with technical teams and utilizes system expertise to deliver technical solutions
Technology Strategy: Contributes to new and existing technology options that support business goals

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off
Paid holidays
Paid parental and family leave

Fulltime

AI Research Infrastructure Engineer

Block is scaling Customer Insights into an AI-powered insights accelerator that ...

Location

United States , Bay Area

Salary:

168300.00 - 297000.00 USD / Year

Block

Expiration Date

Until further notice

Requirements

7+ years of experience in research, automation implementation, analytics, or related technical fields with hands-on workflow optimization experience
3+ years implementing AI/ML solutions, with experience in automation, LLM integration, or applied AI/analytics workflows
Hands-on technical skills in programming languages (Python, R, SQL) for automation development, API/MCP integrations, cloud platforms, and research data pipeline creation
Experience with research and analytic platforms and tools (Qualtrics, Snowflake, etc) or transferable experience with analytics and automation platforms
Strong technical communication and translation skills with ability to make complex AI/ML concepts, data architecture decisions, and automation workflows accessible and actionable for researchers, product managers, and business stakeholders
Proven ability to build stakeholder confidence and alignment during technology transformation
Strong project management skills with ability to coordinate multiple complex automation initiatives, manage competing priorities, and deliver measurable operational efficiency gains (reduced cycle times, improved quality outcomes, increased research capacity)

Job Responsibility

Design, build, and deploy AI agents and agentic workflows that automate research operations from study design through insights delivery, using LLMs, prompt engineering, MCP (Model Context Protocol) integrations, and workflow orchestration integrated with existing research and analytics tech stack
Design, build, and maintain automated data pipelines that ingest, transform, and unify research data from diverse sources (surveys, transcripts, analytics, behavioral logs) into AI-ready repositories with RAG capabilities for instant insight access via tools like Goose
Architect ETL/ELT frameworks using Python, SQL or equivalent tools to ensure data consistency, traceability, and scalability
Develop data models and schemas for research metadata, participant data, and AI-generated insights to support efficient querying and analysis
Design and prototype research automation systems using AI/ML techniques, partnering with design & engineering teams to productionize solutions
Partner with engineering, design, and platform teams to integrate research automation systems with Block's tech stack (i.e. Goose, GitHub, etc.) and establish governance frameworks for quality, ethics, and compliance
Mentor team members on AI agent development, agentic system design, and research automation best practices to build organizational capabilities in intelligent automation

What we offer

Remote work
medical insurance
flexible time off
retirement savings plans
modern family planning

Fulltime

AI Research Engineer, Data Infrastructure

As a Research Engineer in Infrastructure, you will design and implement a robust...

Location

United States , Palo Alto

Salary:

180000.00 - 250000.00 USD / Year

1X Technologies

Expiration Date

Until further notice

Requirements

Strong experience in building data pipelines and ETL systems
Ability to design and implement systems for data collection and management from robotic fleets
Familiarity with architectures that span on-robot components, on-premise clusters, and cloud infrastructure
Experience with data labeling tools or building dataset visualization and annotation tooling
Proficiency in creating or applying machine learning models for dataset organization and automated labeling

Job Responsibility

Optimize operational efficiency of data collection across the NEO robot fleet
Design intelligent triggers to determine when and what data should be uploaded from the robots
Automate ETL pipelines to make fleet-wide data easily queryable and training-ready
Collaborate with external dataset providers to prepare diverse multi-modal pre-training datasets
Build frontend tools for visualizing and automating the labeling of large datasets
Develop machine learning models for automatic dataset labeling and organization

What we offer

Equity
Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays

Fulltime

Senior Platform Engineer - CI/CD & AI Automation (AI-first)

Groupon is undergoing a critical platform transformation, modernizing its core d...

Location

Czechia , Prague

Salary:

Not provided

Groupon

Expiration Date

Until further notice

Requirements

5+ years of dedicated experience in Platform Engineering, DevOps, or Infrastructure roles
Deep expertise building, scaling, and migrating CI/CD systems, with strong practical experience in Jenkins and/or GitHub Actions
Expertise in scripting and automation (Python, Go, or Bash)
Solid understanding of container technologies, Kubernetes, and cloud build systems
Proven experience leveraging AI tooling (e.g., Claude Code, code analysis) to meaningfully increase developer output and optimize platform work
Excellent communication and ability to drive technical decisions across multiple platform and product teams

Job Responsibility

Platform Transformation: Lead the design, planning, and execution of the Jenkins-to-GitHub Actions migration across a large portfolio of microservices
Pipeline Engineering: Design and optimize high-performance, secure, and observable CI/CD workflows across GitHub Actions, Jenkins, and Kubernetes environments
AI-First Automation: Drive an AI-First workflow by leveraging tools (e.g., Copilot, code generation) to eliminate infrastructure toil, accelerate development, and analyze pipeline failures
Core Automation: Develop robust platform automation (e.g., Python, Go, Bash) to improve build efficiency, artifact caching, reliability, and repository hygiene
Security & Compliance: Harden CI/CD infrastructure with robust controls for secrets management, RBAC, audit logging, and secure runner design
Observability: Implement and enhance CI/CD observability using tools like Prometheus, Grafana, and OpenTelemetry to provide deep insights into performance and reliability
Technical Leadership: Mentor engineers and partner across Cloud, Security, and Developer Experience teams to define and evolve our end-to-end delivery platform architecture

Senior Software Engineer - ML Infrastructure

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , San Francisco

Salary:

180000.00 - 270000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

5+ years of industry experience as a software engineer, with strong focus on ML/AI infrastructure or large-scale distributed systems
Hands-on expertise in building and operating ML platforms (e.g., feature stores, data pipelines, training/inference frameworks)
Proven experience delivering reliable and scalable infrastructure in production
Solid understanding of ML Ops concepts and tooling, as well as best practices for observability, security, and reliability
Strong communication skills and ability to collaborate across teams

Job Responsibility

Design and implement large-scale ML infrastructure, including feature stores, pipelines, deployment tooling, and inference systems
Drive the rollout of Plaid’s next-generation feature store to improve reliability and velocity of model development
Help define and evangelize an ML Ops “golden path” for secure, scalable model training, deployment, and monitoring
Ensure operational excellence of ML pipelines and services, including reliability, scalability, performance, and cost efficiency
Collaborate with ML product teams to understand requirements and deliver solutions that accelerate experimentation and iteration
Contribute to technical strategy and architecture discussions within the team
Mentor and support other engineers through code reviews, design discussions, and technical guidance

What we offer

medical, dental, vision, and 401(k)

Fulltime

Engineering Manager, AI Platform

Lead Airtable's AI Platform pod, which builds the foundational infrastructure an...

Location

United States , San Francisco; New York City

Salary:

240000.00 - 339900.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Platform builder at heart: think in systems and abstractions
experience building infrastructure other teams depend on
Technical depth with strategic thinking
Systems thinker with shipping velocity
AI infrastructure experience: worked on ML platforms, agent frameworks, or AI infrastructure at scale
Quality through architecture
Strong technical and management growth trajectory: 5+ years experience as an engineer (previously in a staff or TL level IC position) and 1+ years as a manager, or a similar combination

Job Responsibility

Build the AI platform foundation: own the core agent architecture, orchestration layer, and runtime
Design for platform scale: create robust abstractions and APIs
Establish AI reliability systems: build evaluation frameworks, monitoring, and quality assurance systems
Drive technical strategy: partner with Staff+ engineers to define the technical roadmap
Enable AI democratization: build platform capabilities that make sophisticated AI accessible to all Airtable users

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Software Engineer (Backend Infrastructure)

As a Backend Infrastructure Engineer on the v0 team, you will design and build t...

Location

United States , San Francisco

Salary:

224000.00 - 336000.00 USD / Year

Vercel

Expiration Date

Until further notice

Requirements

Deep experience designing distributed systems, microservices, or high-performance backend architectures
Familiarity with AI/LLM-powered systems, developer tools, or platform engineering
Strong understanding of TypeScript, Node.js, or similar backend languages
Passion for the developer experience and a desire to build magical, intuitive workflows
You thrive in ambiguous environments and enjoy shipping in fast cycles

Job Responsibility

Architect, build, and maintain high-performance, scalable, and reliable backend systems for AI-driven development experiences
Develop and enhance AI-powered tools and services within the v0 ecosystem to improve code generation, automation, and platform integrations
Design APIs and services that enable seamless interactions between AI models, user input, and Vercel infrastructure
Monitor, diagnose, and resolve complex distributed systems issues to ensure reliability at scale
Stay ahead of emerging trends in AI, cloud architecture, and developer tooling, identifying opportunities to enhance the v0 platform
Collaborate cross-functionally with design, product, and platform engineering to ship features that delight developers

What we offer

Competitive compensation package, including equity
Inclusive Healthcare Package
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills
Flexible Time Off
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed

Fulltime

Design Engineer - AI Infrastructure

Meta

Location:
United States , Menlo Park

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 23, 2026

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