Jobs in the United States

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Added 2 mins ago
TT
Senior Security Engineer
True Talent Solutions Partners
San Francisco, CA
- $190,000 to $250,000 USD / year
Join a growing AI-focused fintech team as a hands-on Senior Security Engineer, owning and advancing application security in a regulated banking environment. This individual contributor role…
Added 2 mins ago
CO
Director of Community Development Department
County of Del Norte, CA
Crescent City, CA
- $127,048 to $178,770 USD / year
…are encouraged, but will not be accepted in lieu of required application materials. Applications which are incomplete as of the final date to apply will be eliminated from consideration.…
Added 5 mins ago
SUPERVISORY MECHANICAL ENGINEER
United States Fleet Forces Command
Naval Shipyard, VA
Added 5 mins ago
Senior Principal Process Engineer
Northrop Grumman
Radford, VA
Must possess a valid driver’s license (Real ID)
Added 5 mins ago
BM
Application Security Engineer
Battelle Memorial Institute
Crystal City, VA
- $130,000 to $190,000 USD / year
…clients. The Cyber Architecture & Advisory Services is seeking an Application Security Engineer to work under the direction of an Application Security Subject Matter Expert (SME) in support…
Added 5 mins ago
Software Integration Engineer
Altamira Technology Corporation
Warrenton, VA
The Software Integration Engineer will design and build connections between software platforms, through APIs, middleware, event pipelines, and data feeds to connect disparate applications,…
Added 5 mins ago
Electrical Systems Engineer
Northrop Grumman
Stafford, VA
Northrop Grumman Defense Systems is seeking an Electrical Systems Engineer to work for our Whisper program at a government customer site in Stafford, Virginia.
Added 5 mins ago
UG
Government Fixed Asset Manager
UIC Government Services and the Bowhead Family of Companies
Stafford, VA
- $80,000 to $90,000 USD / year
Bowhead is seeking a qualified Government Fixed Asset Manager to support our Product Manager Engineer, Maintenance, and Support Equipment (PdM) NMESIS Support Services contract located in…
Added 5 mins ago
Senior Systems Integration Engineer - Secret
Parsons Corporation
Centreville, VA
Must have an active Secret clearance · Must have a Valid US Passport
Added 5 mins ago
Software Test Engineer (Level 2 or 3) AHT
Northrop Grumman
Dulles, VA
Northrop Grumman Space Systems is seeking a Software Test Engineer to support the verification and validation of mission-critical satellite ground software. In this role, you will develop &…
Added 5 mins ago
Network Security Engineer
SAIC
Suffolk, VA
SAIC is seeking a Network Security Engineer with experience in US Navy IT networks to support the sustained operation and maintenance of a newly deployed naval enterprise transport network,…
Added 5 mins ago
Industrial Process Engineer
ContiTech
Winchester, VA
We're looking for a detail-oriented and analytical Industrial Process Engineer to join our organization in Winchester, United States. In this role, you will be responsible for optimizing…
Added 5 mins ago
Cyber Data Analysis Engineer III
CACI International
Springfield, VA
A Cyber Data Analysis Engineer designs, builds, and maintains the enterprise environment for collecting, storing, and displaying data that supports cybersecurity efforts. In this role,…
Added 5 mins ago
Engineer - Engineer Principal
American Electric Power
Roanoke, VA
Responsible to the assigned supervisor for performing complex engineering work activities and projects requiring the application of engineering knowledge in a safe, effective, efficient and…
Added 5 mins ago
Full Stack Software Developer/Engineer
CACI International
Sterling, VA
Clearance: Must have TS/SCI with CI poly (or be willing to take CI poly)
Added 6 mins ago
Senior Software Engineer
Northrop Grumman
Newport News, VA
Northrop Grumman is seeking a Sr Software Engineer for our GCCS-J program in Newport News, Va.
Added 6 mins ago
Principal Network Engineer / Senior Principal Network Engineer
Northrop Grumman
Chantilly, VA
…administrators, and operators as a Principal Cyber Network Engineer or Senior Principal Cyber Network Engineer professional in Chantilly, VA. The successful candidate will be expected to…
Added 6 mins ago
Deputy Chief Engineer Systems (Government)
AT&T
Chantilly, VA
This is a full-time onsite role based in the location(s) posted and is performed from the designated work location five days per week
Added 6 mins ago
Cyber Engineer Lead
ManTech
Chantilly, VA
ManTech is seeking a motivated, career and customer-oriented Cyber Engineer Lead , serving as the CLIN-level manager, to join our team in the Chantilly, VA, area.
Added 6 mins ago
A
System Development Engineer II - AMZ10225528
Amazon
Herndon, VA
- $129,200 to $174,800 USD / year
Offered Position: System Development Engineer II
Added 6 mins ago
Software Development Engineer III, AFX Planning Tools
Amazon
Herndon, VA
…millions of customers? We are looking for a Software Development Engineer III to join our team at Amazon and help shape the technical direction of critical software systems. In this role,…
Added 6 mins ago
Controls Engineer, Data Center, Colocation Regional Engineering - AMER
Amazon
Herndon, VA
As a Controls Colo Engineer, you will work with internal business teams and with colocation vendors to identify, document, and resolve any operational/design deficiencies which could impact…
Added 6 mins ago
DC Civil Engineer, DCDE AMER Civil East, AWS DC Engineering
Amazon
Herndon, VA
AWS is seeking a Data Center Civil Engineer to join its East Design team.
Added 6 mins ago
Mech Colo Regional Engineer , Colocation Region Engineering- AMER
Amazon
Herndon, VA
Are you an engineer with a passion for data center design and looking for a challenge to chart your own course? If so, we are looking for you to help us make history.
Added 6 mins ago
AWS Senior DevOps Engineer
NTT America, Inc.
Herndon, VA
NTT DATA is seeking an AWS Senior DevOps Engineer to support a large-scale modernization initiative focused on cloud automation, infrastructure-as-code, CI/CD pipeline engineering, secure…

AIML - Sr. LLM Inference Quality Engineer

Seattle, WA, United States

The base pay range for this role is between $195,700 and $338,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apply on jobs.apple.com About employer

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Job details

Pay: The base pay range for this role is between $195,700 and $338,400, and your base pay will depend on your skills, qualifications, experience, and location.
Posting language: English
Posted: Nov 13, 2026

Original job description

Summary Apple is building the next generation of AI data center infrastructure to power large language model (LLM) services at scale. We are looking for a senior engineer to own the correctness, consistency, and stability of LLM inference in production. You will design and build the automation frameworks, evaluation methodology, and qualification strategy that give us confidence in every model, prompt, serving stack, and infrastructure change before it reaches our users. Your work is the safety net that lets Apple ship frontier AI quickly, without sacrificing quality, safety, or trust.

Description In this role, you will lead the qualification of an LLM inference, output-correctness, automation framework for large-scale AI data center deployment and platform validation. You will architect qualification systems for generative AI, including agentic workflows and tool-using models, running at data center scale, validating that outputs remain correct, consistent, and stable as models, weights, prompts, serving runtimes, quantization schemes, and accelerator hardware change underneath them. This is a hands-on AI systems engineering role at the intersection of machine learning, distributed systems, and quality engineering. You will write production-quality software in Python, C++, and/or Swift, apply statistical and ML-evaluation methods to validate both data and model behavior, and build AI-assisted QA tooling that makes testing itself smarter and faster. You will partner closely with ML engineers, inference/performance engineers, distributed systems engineers, and platform teams, and you will be a trusted Quality voice on what “correct” and “stable” mean for LLM inference at scale, including the inherently non-deterministic, probabilistic nature of generative output. You should be comfortable operating in ambiguity, defining quality bars where none exist yet, and delivering rigorous results on tight schedules.

Responsibilities

Design and develop qualification frameworks for LLM inference systems deployed at data center scale, validating output correctness, consistency, and stability across model, weight, prompt, runtime, and infrastructure changes. Build the LLM inference output-correctness automation framework used for large-scale deployment and platform validation. Architect the end-to-end test and qualification strategy for distributed ML serving systems - spanning unit, integration, regression, and end-to-end layers. Design harnesses that enable validation of ML/LLM services independently of upstream model and service dependencies (mocking, trace replay, and synthetic traffic generation).

Gate releases in CI: every change to a model, weight, prompt, tool definition, or runtime runs against the relevant evals, producing a before/after comparison a reviewer can read in one glance. Create prompt-level and scenario-based regression suites, and track quality across model, prompt, and infrastructure versions over time.

Validate tool-use, function-calling, and multi-turn agentic workflows for correct invocation, argument formation, task completion, and multi-turn coherence; flag output that is wrong, empty, or silently degraded. Develop safety, refusal, and policy-compliance coverage, verifying guardrail and alignment behavior holds across releases. Probe AI-specific risk: prompt injection, data leakage across users and permissions, hallucinated or ungrounded output, and cost/latency regressions. Build adversarial and robustness tests, long-context, ambiguous and underrepresented inputs, to surface failure modes before users encounter them.

Qualify inference-optimization techniques (quantization, KV-cache, speculative decoding, batching) for output parity against a full-precision reference. Validate output equivalence across serving backends and accelerators, ensuring hardware and runtime swaps preserve generation quality. Perform functional, performance, fault-injection, and reliability testing, benchmarking quality-vs-latency/throughput trade-offs to surface the correctness cost of performance optimizations.

Develop and use AI-powered/agentic QA tooling that improves test-case generation, defect detection, flaky-test analysis, and failure triage automating any check performed manually more than once. Define and implement metrics, logging pipelines, distributed tracing, and observability tooling to monitor output correctness, model quality, data quality, drift, latency, and system health in production. Apply log analysis using Splunk and Apple internal debugging tools to root-cause failures in complex LLM serving systems. Perform regression, performance, and integration testing across platforms, including iOS and macOS, for on-device and server-backed AI features. Develop production AI infrastructure software in Python, C++, and/or Swift, applying modularity, scalability, testability, and performance principles.

Minimum Qualifications 5+ years of experience with hardware and/or software development lifecycle processes. 5+ years of experience in one or more compiled languages (e.g., C, C++, Objective-C/Swift). Proficiency in one or more scripting languages (e.g., Python, Go, or JavaScript). Experience using AI/LLMs to improve testing itself - test-case generation, defect detection, or reducing manual QA effort. Familiarity with LLM serving and inference optimization (batching, KV-cache, quantization, speculative decoding, distributed/multi-accelerator serving) and GPU-accelerated software. Experience with CI/CD, Kubernetes, containers, and cloud-native systems, and integrating automated evals into release pipelines. Experience with machine learning and LLMs, their common practical applications, and commonly used frameworks (e.g., PyTorch, Hugging Face Transformers, or comparable inference/serving stacks). Experience with observability and distributed tracing for ML systems (e.g., Splunk, Prometheus, Grafana, LangSmith, or similar) and monitoring for model drift. B.S., M.S., or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience.

Preferred Qualifications 5+ years using one or more of the following scripting languages: Python, Go, or JavaScript 5+ years of experience working with and building operating systems 2+ years of experience in LLM testing/development.

Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $195,700 and $338,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

EEO Statement Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

Accessibility At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Application Deadline Apple accepts applications to this posting on an ongoing basis.

Apply on jobs.apple.com About employer

More about this job

Skills

Python
C++
Swift
ML
Splunk
Debugging
Apple macOS
Software development
C
Objective C
Go
JavaScript
CI/CD
Kubernetes
Machine learning
PyTorch
Hugging Face
Prometheus
Grafana
Computer engineering
Electrical engineering
Computer science

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Work requirements

Jobs in the United States