San Francisco, California, United States · On-site
$206k–$379k/yr
The Opportunity Firefly Foundry is Adobe's enterprise managed-service offering for custom multimedia generative AI — deep-tuned image, video, and 3D models built on each customer's IP, paired with creative production wor…
Skills: Machine Learning Engineering, Generative AI, Inference Architecture, GPU Optimization, PyTorch
San Jose, California, United States · On-site
$105k–$205k/yr
The Opportunity The International Strategy and Product Management group (ISPM) is looking for a dynamic, technical, and business-minded Product Manager. We are responsible for crafting exceptional, culturalized product e…
Skills: Product Management, Data Analysis, Growth Management, Business Analysis, Competitive Analysis
DeVry University & its Keller Graduate School of Management InternationalNewark, California, United States · Hybrid
$22/hr–$23/hr
DeVry University strives to close our society’s opportunity gap and address emerging talent needs by preparing learners to thrive in careers shaped by continuous technological change. Through innovative programs, r…
Skills: Information Systems, Database Management, Qualitative Research Methods, Applied Computer Science, Instructional Technology
San Jose, California, United States · Hybrid
$150k–$250k/yr
TSMC’s Advanced Tool and Module Development Function in R&D is establishing a new engineering team in the US as a direct extension of its organization in Taiwan. This newly formed team will serve as the on-site technical…
Skills: AI/ML, Closed-loop Control Theory, Sensor Fusion, Predictive Maintenance, Agentic AI
San Jose, California, United States · On-site
$211k–$330k/yr
Req ID: 138675 Region: Americas Country: USA State/Province: California City: San Jose Summary Celestica is accelerating the adoption of Artificial Intelligence and intelligent automation across its Hardware Engineering …
Skills: Artificial Intelligence, Machine Learning, Hardware Engineering, System Architecture, Generative AI
San Jose, California, United States · On-site
$211k–$330k/yr
Req ID: 138675 Region: Americas Country: USA State/Province: California City: San Jose Summary Celestica is accelerating the adoption of Artificial Intelligence and intelligent automation across its Hardware Engineering …
Skills: Generative AI, LLM Architecture, RAG Frameworks, Python, PyTorch
San Jose, California, United States · Hybrid
$160k–$233k/yr
The application window is expected to close on: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. The application window is expected to close on July 30,…
Skills: Product Quality Engineering, Reliability Engineering, Failure Analysis, New Product Introduction (NPI), Risk Management
San Francisco, California, United States · On-site
$126k–$180k/yr
Minimum qualifications: Bachelor's degree or equivalent practical experience. 3 years of experience in management consulting or other equivalent business strategy experience. Preferred qualifications: 3 years of experien…
Skills: Management Consulting, Business Strategy, Operational Strategy, Problem-solving, Data Modeling
San Jose, California, United States · On-site
$147k–$210k/yr
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience programming in Java, Kotlin or C++. 2 years of experience testing, maintaining, or launching software products, and 1 ye…
Skills: Java, Kotlin, C++, Android Development, Software Architecture
San Jose, California, United States · On-site
$107k–$142k/yr
Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made acce…
Skills: Semiconductor manufacturing, Process engineering, Data analysis, JMP, Python
San Jose, California, United States · On-site
$88k–$137k/yr
Company Description Join a multibillion-dollar global company that brings together amazing technology, people, and operational scale to become a powerhouse in the memory industry. Headquartered in Rancho Cordova, Califor…
Skills: Internal audit, SOX compliance, Risk management, IT audit, Data analytics
San Jose, California, United States · On-site
$180k–$250k/yr
Team Credo is looking for a Principal Design Engineer to join our mission to transform connectivity at scale. In this role, you will be responsible for the RTL architecture, design, implementation, and verification of ad…
Skills: RTL development, Digital design, SerDes architecture, DSP, System Verilog
San Jose, California, United States · Hybrid
Role Summary The Director of Marketing Operations Quality & Governance is responsible for ensuring all customer-facing marketing experiences are launch-ready, operationally sound, scalable, and driving impact as expected…
Skills: Marketing Operations, Quality Assurance, Release Management, Governance, Automation Strategy
San Jose, California, United States · Hybrid
Overview Compensation We Offer The initial compensation for this position ranges from $28.48 - $35.02 Per Hour, depending on experience, location and internal equity considerations Possible Additional Compensation (may v…
Skills: Administrative Support, Data Management, Data Visualization, Excel, Compliance
San Jose, California, United States · On-site
Job Summary Acer is expanding its portfolio of high-performance computing products to meet the growing demand for AI development, training, and enterprise deployment. As the Business Manager for AI Workstations & Servers…
Skills: Business management, Product management, Channel strategy, Financial modeling, Data analysis
San Jose, California, United States · On-site
$200k–$400k/yr
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of …
Skills: AI performance engineering, GPU architecture, CUDA, Triton, Python
San Jose, California, United States · Remote OK
$200k–$225k/yr
Accellor is an AI-native services firm purpose-built for the post-ChatGPT era. Free from legacy constraints, we focus on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. Ou…
Skills: AI/ML, LLM, Agentic architectures, RAG patterns, Prompt engineering
San Jose, California, United States · On-site
$113k–$242k/yr
Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into inte…
Skills: Artificial Intelligence, Machine Learning, Generative AI, Large Language Models, Python
San Jose, California, United States · Hybrid
$240k–$270k/yr
About Us: Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry’s first Process Reasoning Engine (PRE) an…
Skills: Revenue operations, GTM operations, Pipeline management, Forecasting, Stakeholder management
San Jose, California, United States · Hybrid
$145k–$284k/yr
The Opportunity: Adobe Firefly is transforming how creators ideate, create, and express themselves through generative AI. As Firefly continues to scale, data-driven growth and high-quality experimentation are core to how…
Skills: Data Science, Analytics, Python, SQL, Leadership
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The Principal Machine Learning Engineer will lead the technical architecture and execution for enterprise-scale generative AI inference pipelines. This role involves optimizing GPU-accelerated systems, defining API standards, and providing technical leadership across multiple engineering teams.
Candidates must have at least 8 years of experience in machine learning engineering with a focus on production-scale deployment and GPU-intensive inference systems. A Master's or PhD in Computer Science or a related field is required, along with deep expertise in frameworks like PyTorch, CUDA, and TensorRT.
The Opportunity
Firefly Foundry is Adobe's enterprise managed-service offering for custom multimedia generative AI — deep-tuned image, video, and 3D models built on each customer's IP, paired with creative production workflows and a media-intelligence layer, and deployed across new and existing Adobe surfaces and products, including Firefly, Photoshop, Illustrator, Express, Stock, and Premiere.
We are hiring a Principal Machine Learning Engineer to serve as the technical lead for our GenAI Services area. This is not a model-training or research role — it is the senior-most hands-on engineering authority over how our generative models are architected, optimized, and served at enterprise scale. You will set the inference architecture and technical standards that a growing organization of engineers builds against, co-develop and optimize the inference code that makes those systems fast and cost-efficient, and architect the APIs and product backend that let Adobe's first-party and third-party models reach both internal applications and external plugin integrations. Where the Director owns the multi-year technical strategy, headcount, and company roadmap for the org, you own the architecture, technical depth, and hands-on execution that make that strategy real — spanning multiple engineering teams without owning their people management.
What this role owns
The technical architecture for composing, optimizing, and serving heterogeneous generative model pipelines — LLMs, diffusion and transformer-based image/video models, RAG and retrieval systems, multi-turn agentic flows, and 3D/mesh pipelines — across the GenAI Services area.
The optimization strategy for inference performance: latency, throughput, and cost-to-serve across model families and GPU fleets.
The system design standards for pipeline composition, multi-tenant serving, and the product backend/API and plugin surface that integrates first-party and third-party generative models into Adobe's flagship products.
Technical direction across multiple engineering teams as the principal authority on architecture and design — a cross-team scope, distinct from the Director's org-wide roadmap and management ownership.
Who you will partner with
Applied Science — to translate research models and emerging techniques into production-grade inference architecture.
Director, ML Engineering and ML Engineering leadership — to align technical architecture with organizational strategy and priorities.
Product Managers and TPMs — to define and deliver against the roadmap for GenAI services and APIs.
Firefly Foundry Studio and AI Platform — to translate creative production workflows into performant services and to align on shared infrastructure and serving primitives.
What you will do
Lead the development of core GenAI services and APIs that integrate a wide range of first-party and third-party generative models into Adobe's flagship products.
Architect ML serving workflows for enterprise-scale model customization, deployment, and ecosystem integration — including externalizable, self-serve fine-tuning flows.
Co-develop and optimize GPU-accelerated inference pipelines — prioritizing latency, throughput, scalability, and reliability — using tools such as PyTorch, CUDA, Triton, and TensorRT.
Design and architect the product backend and plugin ecosystem that lets internal applications and external integrations consume Firefly Foundry's model services.
Provide hands-on technical leadership: guide engineers through architecture, design, implementation, and best practices, and mentor a growing organization of ML engineers.
Research and evaluate emerging inference and MLOps technologies — serving runtimes, quantization, GPU scheduling — to improve engineering velocity and system performance.
Lead design reviews and set technical standards, ensuring high reliability and maintainability across systems.
Drive cross-functional alignment with Product Managers, TPMs, and engineering leaders to define and deliver on the roadmap.
Foster a culture of technical excellence and continuous improvement across the organization.
What you bring
MS or PhD in Computer Science, Machine Learning, or a related field — or equivalent industry experience.
8+ years of experience in machine learning engineering, including production-scale deployment and serving — not training or research experimentation.
3+ years leading the technical direction of large-scale, GPU-intensive GenAI inference systems — serving, architecture, and optimization.
Deep experience with inference frameworks and tools such as PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, and Python.
Strong understanding of generative model architectures — diffusion models, transformers, GANs, LLMs — sufficient to make architecture and optimization calls and reason about output quality, in partnership with Applied Science.
Proven experience architecting multi-model pipelines and serving them behind APIs at enterprise scale.
Experience designing product backend systems and plugin architectures consumed by internal applications and external integrations.
Proven success leading cross-functional teams through complex, high-stakes technical initiatives, with a track record of driving alignment in matrixed organizations.
Excellent communication and technical leadership skills.
Preferred Qualifications
Experience with model serving, orchestration, and GPU resource management in large-scale environments.
Hands-on expertise in Kubernetes, distributed systems, and MLOps platforms.
Experience with RAG architectures and multi-turn, agentic conversational systems.
Experience with quantization, distillation, or other model-optimization techniques for inference.
Education
#FireflyGenAI
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
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Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.


In California, the pay range for this position is $261,800 - $379,100
In Washington, the pay range for this position is $242,600 - $351,225

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
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Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
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Based on 939 listings with disclosed salaries, most data & analytics jobs in San Jose, CA pay between $110k–$293k per year. Individual offers vary with seniority, company size, and specialization.
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