AI Infrastructure Operations Engineer Job at Cerebras Systems (Sunnyvale)

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 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 Engineering Manager - AI Core Platform

We’re hiring a Senior Engineering Manager (or high-potential EM2) for the Core P...

Location

Ireland , Dublin

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

Experience leading engineering teams, ideally across infrastructure or platform domains
Recent hands-on coding experience — you’ve shipped production code in the last couple of years
Strong technical judgment and the ability to coach senior engineers through complex architectural trade-offs
Adaptable leadership style suited to a group that will grow quickly, and change shape over time
Curiosity and enthusiasm for AI, with a desire to learn how ML systems are developed and operated in production

Job Responsibility

Lead a high-performing team building the platform and infrastructure that power Intercom’s AI capabilities
Contribute directly to production code, staying close to the work and building knowledge & context through first-hand experience
Support teams of ML Scientists and Engineers building AI powered capabilities
Plan, prioritize, and deliver high-impact roadmaps in partnership with the team’s most senior engineers, balancing delivery, quality, and innovation
Improve developer experience across the AI infrastructure stack, ensuring that systems are observable, scalable, and easy to build upon
Empower the engineers on the team to act with agency and maximize their impact
Expand your scope over time, potentially taking ownership of additional platform domains as the team and AI initiatives grow

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we also offer Windows for certain roles when needed

Fulltime

Engineering Manager - Machine Learning Infrastructure

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

Location

United States , San Francisco

Salary:

241200.00 - 400000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

8–10 years of experience in ML infrastructure, including direct hands-on expertise as an engineer, IC/TL
2+ years of experience managing infrastructure or ML platform engineers
Proven experience delivering and operating ML or AI infrastructure at scale
Solid technical depth across ML/AI infrastructure domains (e.g., feature stores, pipelines, deployment, inference, observability)
Demonstrated ability to drive execution on complex technical projects with cross-team stakeholders
Strong communication and stakeholder management skills

Job Responsibility

Lead and support the ML Infra team, driving project execution and ensuring delivery on key commitments
Build and launch Plaid’s next-generation feature store to improve reliability and velocity of model development
Define and drive adoption of an ML Ops “golden path” for secure, scalable model training, deployment, and monitoring
Ensure operational excellence of ML pipelines, deployment tooling, and inference systems
Partner with ML product teams to understand requirements and deliver solutions that accelerate model development and iteration
Recruit, mentor, and develop engineers, fostering a collaborative and high-performing team culture

What we offer

medical
dental
vision
401(k)
equity
commission

Fulltime

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

Is Data Center Operations Engineer

Bridging Information Technology (IT) and the Mechanical, Electrical, and Plumbin...

Location

United States , New Albany

Salary:

91731.00 - 114948.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree
Bachelor’s degree and 2 years of data center operations experience
Associate’s degree and 6 years of data center operations experience
High school diploma / GED and 8 years of data center operations experience
Hands-on experience with rack/stack, structured cabling, and IT hardware installation
Familiarity with Dell PowerEdge, Nutanix, NetApp, and Cisco platforms
Ability to interpret electrical and mechanical drawings (awareness-level competency)
Experience using monitoring, alerting, or automation systems (AI-enabled platforms preferred)
Solid understanding of IT operations concepts including hardware lifecycle management and disaster recovery
Ability to read and update documentation, diagrams, and cable records

Job Responsibility

Serve as the liaison between IT teams and facilities staff, ensuring flawless communication
Interpret electrical one-line diagrams, distribution drawings, and cooling schematics to support incident response and planning
Install, rack, cable, and support enterprise IT systems including Dell PowerEdge, Nutanix, NetApp, and Cisco technologies
Support day-to-day moves, adds, and changes (MACs) in building IDF and VDER environments
Perform fiber and copper patch cabling in data centers, IDFs, and VDER closets
Trace and troubleshoot cabling issues to restore connectivity
Monitor infrastructure, proactively detect issues, and bring up with urgency to appropriate teams
Apply AI-enabled monitoring and automation platforms to enhance data center operations
Maintain documentation of infrastructure layouts, procedures, and operational standards
Participate in capacity planning, disaster recovery drills, and continuous improvement initiatives

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models, including remote and hybrid work arrangements, where possible

Fulltime

Engineering Manager, Infrastructure

As an Engineering Manager for the Infrastructure team, you’ll lead the engineers...

Location

Canada; United States

Salary:

195000.00 - 285000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

5+ years of hands-on software or infrastructure engineering experience
2+ years of experience leading teams of senior and staff-level engineers in platform, SRE, or infrastructure domains
Proven ability to design and operate large-scale distributed systems in cloud environments (preferably GCP or AWS)
Expertise with Kubernetes, Docker, Terraform, Ubuntu, and CI/CD pipelines
Familiarity with observability tools (Grafana, Prometheus, ELK, Datadog, NewRelic) and performance tuning
Strong grounding in networking, security, and reliability principles
Experience managing infrastructure costs, availability SLAs, and high-throughput systems at scale

Job Responsibility

Lead, coach, and grow a distributed team of high-impact Infrastructure Engineers
Partner with senior engineering leadership on strategic initiatives such as cloud migration, infrastructure scaling, platform reliability, and cost efficiency
Define and implement modern operational excellence practices, including SLOs, error budgets, incident reviews, and performance monitoring
Guide technical decision-making across key areas like Kubernetes, GCP, observability, networking, CI/CD, and IaC (Terraform, Ansible)
Collaborate with AI, Data, and Product Engineering teams to ensure infrastructure scalability for ML and AI-native workloads
Run effective 1:1s, career development conversations, and quarterly performance reviews
Support recruiting efforts to attract top engineering talent across time zones

What we offer

Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
Global travel coverage
Life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

Director of AI Engineering

We are entering a hyper-growth phase of AI innovation and are hiring a Director ...

Location

Canada; United States

Salary:

300000.00 - 450000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

10–15+ years in software engineering, with significant leadership experience owning AI/ML or applied LLM systems at scale
Proven history shipping LLM-powered features, agentic workflows, or AI assistants used by real customers in production
Deep understanding of LLM orchestration frameworks (LangChain, LlamaIndex), RAG pipelines, vector search, embeddings, and prompt engineering
Expert in backend & distributed systems (Python strongly preferred) and cloud infrastructure (AWS/GCP)
Strong experience with telemetry, observability, and cost-aware real-time inference optimizations
Demonstrated ability to lead senior engineers, define technical roadmaps, and deliver outcomes aligned to business metrics
Experience building or scaling teams working on experimentation, optimization, personalization, or ML-powered growth systems
Exceptional ability to simplify complex problems, set clear standards, and drive alignment across Product, Data, Design, and Engineering
Strong product sense, ability to weigh novelty vs. impact, focus on user value, and prioritize speed with guardrails
Fluent in integrating AI tools into engineering workflows for code generation, debugging, delivery velocity, and operational efficiency

Job Responsibility

Define the multi-year technical vision for Apollo’s AI stack, spanning agents, orchestration, inference, retrieval, and platformization
Prioritize high-impact AI investments by partnering with Product, Design, Research, and Data leaders to align engineering outcomes with business goals
Establish technical standards, evaluation criteria, and success metrics for every AI-powered feature shipped
Lead the architecture and deployment of long-horizon autonomous agents, multi-agent workflows, and API-driven orchestration frameworks
Build reusable, scalable agentic components that power GTM workflows like research, enrichment, sequencing, lead scoring, routing, and personalization
Own the evolution of Apollo’s internal LLM platform for high-scale, low-latency, cost-optimized inference
Oversee model-driven experiences for natural-language interfaces, RAG pipelines, semantic search, personalized recommendations, and email intelligence
Partner with Product & Design to build intuitive conversational UX that hides underlying complexity while elevating user productivity
Implement rigorous evaluation frameworks, including offline benchmarking, human-in-the-loop review, and online A/B experimentation
Ensure robust observability, monitoring, and safety guardrails for all AI systems in production

What we offer

Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
Global travel coverage
Life/AD&D/STD/LTD insurance
FSA/HSA

Fulltime

AI Infrastructure Operations Engineer

Cerebras Systems

Location:
United States; Canada , Sunnyvale ▼
Toronto

Category:
IT - Administration

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 17, 2026

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Cerebras Systems

Location:United States; Canada , Sunnyvale ▼Toronto

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Job Description:

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Job Posted:February 17, 2026

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