Jobs in the United States

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Added 5 mins ago
A
Quality Technician
Aerotek
San Francisco, CA
- $36 to $42 USD / hour
Collaborate closely with other Quality Inspectors, Engineers, and the Lead Quality Engineer to align on inspection priorities, methods, and quality standards.
Added 9 mins ago
TT
Principal Analog/Mixed-Signal Engineer
True Talent Solutions Partners
Boston, MA
- $200,000 to $325,000 USD / year
Hybrid, with three days per week on-site in Boston, Massachusetts, United States.
Added 9 mins ago
TT
Lead AI Engineer
True Talent Solutions Partners
New York, NY
- $175,000 to $300,000 USD / year
On-site, five days per week in New York, NY.
Added 13 mins ago
Senior Manager, Analytics Engineering & Data Science
Procore Technologies, Inc.
TX
Data Science Manager or Lead Analytics Engineer at a high-growth SaaS enterprise
Added 30 mins ago
WI
(USA) Staff, Software Engineer
Walmart Inc.
United States
- $110,000 to $220,000 USD / year
Lead design reviews for scalability, latency, reliability, and security; write and review ADRs/RFCs.
Added 50 mins ago
Senior Deployment Engineer - LLM Inference & Optimization
CoreWeave
CA/ Sunnyvale, CA · Sunnyvale, CA
We’re looking for a Deployment Engineer who combines hands-on AI engineering, model optimization, and strong customer-facing skills.
Added 51 mins ago
TT
Founding Forward Deployed Engineer
True Talent Solutions Partners
New York, NY
- $180,000 to $250,000 USD / year
On-site in New York, New York, five days per week.
Added 54 mins ago
Principal Machine Learning Engineer, Vision AI
Toast
Remote, United States
We're looking for a Principal Machine Learning Engineer, Vision AI to architect and build the platform behind these products. You'll have an outsized influence on how Vision AI is built and…
Added 55 mins ago
Forward Deployed Engineer
United Airlines
Chicago, IL
…serve customers, and support employees. As a Forward Deployed Engineer, you'll embed with business teams, find the best AI opportunities, and turn them into deployed solutions. You'll own…
Added 55 mins ago
Lead AI Process Engineer
United Airlines
Chicago, IL
Lead process pilots, user acceptance, and operational readiness reviews
Added 57 mins ago
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Senior Principal Core Infrastructure Engineer
Oracle
Nashville, TN
- $126,200 to $264,100 USD / year
As a Senior Software Engineer for the Access Governance platform, you will design, develop, and maintain scalable backend services primarily in Java that support large volumes of identity,…
Added 57 mins ago
O
Principal Core Infrastructure Engineer - Physical Networking Automation and Tooling
Oracle
Nashville, TN
- $114,600 to $234,600 USD / year
As a Principal Core Infrastructure Engineer, you will design, build, and deliver scalable automation frameworks and advanced platforms that leverage AI/ML to drive operational excellence…
Added 58 mins ago
Principal Engineer Technical Marketing
Infineon
El Segundo
Added 1 hour ago
AI Engineer - US Remote
Maneva
Remote, United States
Lead cross-team technical projects; write design docs; review code and models; mentor senior and mid-level engineers.
Added 1 hour ago
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Tosca Automation Engineer
Cognizant
Deerfield, IL
- $100,000 to $112,000 USD / year
Based on this role’s business requirements, this is a Hybrid position requiring 3 days per week in a client office in Deerfield, IL
Added 1 hour ago
Lead Digital Health Quality Engineer
AbbVie
North Chicago, IL
The Lead Digital Health Quality Engineer will serve as representative on cross-functional SaMD and Digital Health Software product development teams, driving design controls, DHF…
Added 1 hour ago
Customer Engineer III, Platform, Financial Services, Google Cloud
Google
Chicago, IL
Share Customer Engineer III, Platform, Financial Services, Google Cloud
Added 1 hour ago
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Engineering Manager, Applied AI - NYC
Harvey
New York, NY
- $260,000 to $330,000 USD / year
As an Engineering Manager for Applied AI, you’ll lead teams of fullstack engineers building out new surfaces with specialized agentic workflows for lawyers and other professionals to use…
Added 1 hour ago
Senior Software Engineer, Roblox OS
Roblox
San Mateo, CA
As a Senior Software Engineer on TACo, you’ll build and scale internal products used by recruiting partners, compensation stakeholders, and employees across Roblox. The role is full-stack,…
Added 1 hour ago
M
Data Engineer - Remote
Mindex
Remote, United States
- $90,000 to $140,000 USD / year
Convert Informatica pipelines to Maia (Matillion) and Snowflake using the Solution Lead’s factory-style patterns, and build reusable shared jobs, templates, and validation utilities.
Added 1 hour ago
TT
Senior Forward Deployed Engineer, Operate
True Talent Solutions Partners
New York, NY
- $170,000 to $205,000 USD / year
- Lead client engagements from pre-sales demonstrations and requirements gathering through architecture, integration, launch, and post-launch support.
Added 1 hour ago
Senior Platform Software Engineer
Oracle
Seattle, WA · Santa Clara, CA · San Francisco, CA · San Jose, CA
…for effective debugging, ensuring review by manager and/or lead throughout the…
Added 1 hour ago
Operations Lead
Blacklidge
Gulfport, MS
The Operations Lead is a hands-on technical professional responsible for resolving equipment and operational challenges and improving performance across multiple manufacturing plants.…
Added 1 hour ago
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Engineering Manager
Jobot
Tysons, VA
- $225,000 to $265,000 USD / year
&bullet; Willingness to commute to the Tysons / Vienna area 5 days per week
Added 1 hour ago
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Principal Software Engineer
Walmart
SUNNYVALE, CA
- $143,000 to $286,000 USD / year
The (USA) Principal, Software Engineer leads the design and delivery of scalable platform capabilities, driving innovation in cloud-native architectures and AI/ML integration. This role…

CoreWeave

Senior Deployment Engineer - LLM Inference & Optimization

CA/ Sunnyvale, CA, United States
Sunnyvale, CA, United States

Apply on coreweave.com About employer

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Job details

Experience: 5+ years of experience in software engineering, ML engineering, AI infrastructure, or a related hands-on technical role.
Posting language: English
Posted: Mar 16, 2026

Original job description

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

Senior Deployment Engineer - LLM Inference & Optimization

About the role We’re looking for a Deployment Engineer who combines hands-on AI engineering, model optimization, and strong customer-facing skills. You’ll work directly with customers to bring AI models and applications into production, improve their performance, and integrate them with enterprise systems. You’ll own technical delivery from discovery and benchmarking through deployment and adoption, working closely with customer stakeholders and our product and engineering teams. This role requires someone who enjoys writing code, experimenting with models, diagnosing performance bottlenecks, and helping customers achieve measurable improvements in model quality, latency, throughput, and cost.

What you’ll do

Understand customer requirements: Lead technical discovery to define use cases, workloads, infrastructure constraints, and targets for model quality, latency, throughput, and cost.
Optimize inference: Apply techniques such as quantization, batching, prefix caching, KV-cache optimization, and parallelism to improve performance while preserving output quality.
Adapt models to customer needs: Improve results through prompt optimization, retrieval-augmented generation, and fine-tuning where appropriate. Evaluate the impact of each approach.
Troubleshoot performance: Investigate issues across model execution, GPU utilization, memory consumption, serving infrastructure, and application behavior.
Lead technical customer engagement: Run workshops, present benchmark findings, explain tradeoffs, and guide customers through deployment and optimization decisions.
Build reusable capabilities: Create evaluation tools, benchmark harnesses, deployment configurations, and runbooks. Bring recurring customer needs and performance findings back to product and engineering.

What you’ll bring

5+ years of experience in software engineering, ML engineering, AI infrastructure, or a related hands-on technical role.
Strong Python programming skills and experience with frameworks such as PyTorch, Hugging Face Transformers, or comparable tools.
Hands-on experience deploying and optimizing AI models in production, particularly LLMs.
Experience with model-serving frameworks such as vLLM, SGLang, TensorRT-LLM, or similar technologies.
An understanding of GPU memory constraints, numerical precision, batching, caching, and parallelism, including how these affect inference performance.
Experience building evaluations and benchmarks to measure model quality, latency, throughput, and resource efficiency.
Experience developing APIs and integrating model endpoints with production applications and customer data systems.
Familiarity with GPU-based cloud environments, containers, and monitoring tools used to operate model deployments.
The ability to work directly with customers, communicate technical tradeoffs clearly, and translate business requirements into measurable engineering targets.
Strong ownership and troubleshooting skills, with the ability to move from an ambiguous problem to a tested solution.

Nice to have

Experience with parameter-efficient fine-tuning techniques such as LoRA or QLoRA.
Experience with speculative decoding, multi-GPU inference, or distributed model serving.
Experience profiling GPU workloads using CUDA, NVIDIA Nsight, or related tools.
Experience optimizing embedding models, rerankers, vision models, or multimodal systems.
Experience improving retrieval quality and evaluating end-to-end RAG applications.
Contributions to open-source model-serving, optimization, or evaluation projects.
Experience delivering enterprise AI implementations or customer-facing technical engagements.

What success looks like You help customers deploy AI solutions that meet agreed quality and performance targets. Your work produces measurable improvements in latency, throughput, GPU utilization, and cost while maintaining model quality. Customers understand the tradeoffs, trust your technical guidance, and can operate the solutions you deliver. Your findings and tools make future deployments faster and more effective.

What We Offer

In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include:

Medical, dental, and vision insurance - 100% paid for by CoreWeave
Company-paid Life Insurance
Voluntary supplemental life insurance
Short and long-term disability insurance
Flexible Spending Account
Health Savings Account
Tuition Reimbursement
Ability to Participate in Employee Stock Purchase Program (ESPP)
Mental Wellness Benefits through Spring Health
Family-Forming support provided by Carrot
Paid Parental Leave
Flexible, full-service childcare support with Kinside
401(k) with a generous employer match
Flexible PTO
Catered lunch each day in our office and data center locations
A casual work environment
A work culture focused on innovative disruption

California Applicants

California Consumer Privacy Act

Equal Opportunity & Accommodations

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to technology and/or source code subject to U.S. export control laws. Any such access will be provided only in compliance with applicable U.S. export control requirements. As part of the recruitment process, CoreWeave may request limited information reasonably necessary to assess applicable export-control requirements.

Apply on coreweave.com About employer

More about this job

Skills

Troubleshoot
Analyse issues
ML
Python
PyTorch
Hugging Face
Troubleshooting
Tuning techniques
Open source model

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Work requirements

Jobs in the United States