Santa Clara, California, United States · Remote OK
$221k–$387k/yr
Senior+$4.1B raised
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for …
Sr. Software Development Engineer – GPU Kernel Development
Santa Clara, California, United States · On-site
Senior+$5.0B raised
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in …
Skills: C++, Python, GPU Kernel Development, Deep Learning Frameworks, PyTorch
Senior Systems Software Engineer, Accelerated Kubernetes Performance and Scale - DGX Cloud
Santa Clara, California, United States · Remote OK
$152k–$242k/yr
Senior$29B raised
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years, driven by great technology and amazing people. We’re now tapping into the unlimited potential of AI to define t…
Do you want to drive the future of AI by building agentic AI applications at scale? We are looking for Solution Architects to join the NVIDIA AI Enterprise (NVAIE) SA Segment Team to help redefine how enterprises build a…
Skills: Deep Learning, Machine Learning, Python, C/C++, Linux
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping i…
Skills: Product Management, Real-time Rendering, Ray Tracing, Path Tracing, Synthetic Data Generation
NVIDIA is seeking an elite, hands-on Principal Engineer who specializes in supply network simulation. This person will serve as the core technical architect and strategic partner to our Vice President. In this critical i…
Skills: Supply Network Simulation, Python, MATLAB, Machine Learning, AI Modeling
NVIDIA is looking for Java engineering interns to work on cuVS, a suite of open source software libraries for unstructured data processing and vector search algorithms on GPUs. cuVS relies on NVIDIA CUDA for low-level co…
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for …
Skills: AI Cost Management, FinOps, LLM Pricing Models, SQL, Python
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for …
In this role you will lead the design and development team to build advanced AI applications powered by AI models. You will use AI/ML to automate, optimize, and secure networks, focusing on tasks like self-provisioning, …
Skills: Python, ML Frameworks, AI Model Training, Networking Protocols, Data Center Design
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in …
Skills: C++, GPU Architecture, Kernel Optimization, HIP, CUDA
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionised parallel computing — with th…
Skills: Technical Program Management, Supply Chain Management, Process Reengineering, Agile Methodology, Scrum
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping i…
Skills: Software Development, Technical Architecture, NVIDIA Omniverse, AI Simulation, USD
LeanData helps the world’s fastest-growing companies automate, simplify, and accelerate revenue. We are looking for a Staff Engineer to design and ship the production multi-agent systems at the core of LeanData’s new pla…
Skills: Python, LLM Orchestration, Multi-Agent Systems, RAG, Distributed Systems
Sr Principal PMT, Amazon Quick, Quick Suite Intelligence Platform
Santa Clara, California, United States · On-site
$217k–$338k/yr
Senior+$35B raised
Amazon Quick is redefining how people work — combining agentic AI, intelligent automation, and collaboration into a unified productivity platform that serves both prosumer power users and the world's largest enterprises.…
Application deadline: Jun 30, 2026 As a Data & AI Sales Specialist in one of the fastest-evolving areas of cloud technology, you'll drive growth by helping customers build the modern data foundations that power Generativ…
Senior Systems Software Engineer, Accelerated Kubernetes Performance and Scale - DGX Cloud
Santa Clara, California, United States · Hybrid
$184k–$357k/yr
Senior+$4.1B raised
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years, driven by great technology and amazing people. We’re now tapping into the unlimited potential of AI to define t…
Skills: Kubernetes, Distributed Systems, Systems Performance, Golang, Python
Leads complex, data center hardware support services to ensure resilience, reliability, and availability at scale. Designs, governs, and signs off on advanced change activities and site augmentations, driving standardiza…
Skills: Data Center Hardware Support, SOP/MOP Standardization, Incident Triage, Root Cause Analysis, Hardware Break-fix
Leads complex, data center hardware support services to ensure resilience, reliability, and availability at scale. Designs, governs, and signs off on advanced change activities and site augmentations, driving standardiza…
Skills: Data Center Hardware Support, Hardware Break-fix, Racking And Stacking, SOP/MOP Standardization, Root Cause Analysis
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$221k–$387k/yr
Full-time
bachelor degree, postgraduate degree
Equity, Variable/Incentive Compensation, Health Plans, Flexible Spending Accounts, 401(k) Plan With Company Match, ESPP
Posted 75d ago
~40 hrs/week
Remote in Santa Clara, California, United States
Responsibilities
Architect and develop core frameworks to enhance user experience and embed generative AI capabilities into the ServiceNow platform. Lead large-scale technical initiatives, drive architectural standards for data collection, and mentor other engineers.
Requirements
Requires extensive experience (up to 15 years depending on degree) in object-oriented programming and modern front-end frameworks. Must have deep expertise in microservices, large-scale endpoint agents, and AI-powered workflows.
Full job description
Company Description
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people.
Job Description
Principal Software Engineer
The engineering organization is a dynamic group of builders, thinkers, and problem-solvers focused on delivering scalable, AI-powered software products that improve how organizations work. We value clean architecture, intuitive experiences, operational excellence, and a culture of continuous improvement. Every engineer plays an important role in shaping the quality, reliability, and long-term success of our products.
About the Team:
The Service Operations Business Unit brings together IT Service Management (ITSM), IT Operations Management (ITOM), and CMDB capabilities on the ServiceNow Platform. This product engineering organization builds the software that helps customers deliver resilient, intelligent, and efficient enterprise services.
The Service Operations product portfolio connects incident, request, fulfillment, infrastructure visibility, service mapping, trusted configuration data, automation, and AIOps into a unified operating model. By combining service delivery with operational intelligence and trusted operational context, these products help customers move toward proactive, AI-assisted, and increasingly self-healing operations at enterprise scale.
Together, these capabilities help customers modernize how they deliver and operate services, improve reliability, reduce manual effort, and drive measurable productivity outcomes on a single platform.
What you get to do in this role:
As a Principal Software Engineer, you will architect and build assistive and autonomous AI-native products to usher customers (IT departments using our IT service and operation management applications) into an agentic-first era. The work will span large-scale distributed systems, data ingestion, context creation and utilization, agentic harnesses, cost optimization, agentic feedback loops to ensure value realization for our customers.
This role requires thought leadership, deep technical expertise, strong architectural judgment, and a keen understanding of the scientific method to ship and refine real product through iterative experimentation.
Responsibilities include:
• Lead architecture and technical strategy for assigned problem areas within ITSM/ITOM products, working with product and engineering leaders to understand blockers and opportunities around AI-native evolution and value realization.
• Contribute hands-on to spiking and shipping solutions. Validate architectural hypotheses through code, not theory. Build prototypes, reference implementations, and critical path components to prove feasibility and guide teams.
• Design and validate solutions through evidence-based spiking: formulate hypotheses, run experiments, measure outcomes, and use data to guide architectural decisions and product direction.
• Architect the evolution of current solutions toward AI-native capabilities—identifying where agentic patterns, data utilization, or autonomous workflows can unlock customer value. Translate architectural recommendations into executable work.
• Identify and address value realization gaps in agentic products that exist but aren't delivering expected outcomes. Work with teams to diagnose root causes (architecture, UX, data quality, feedback loops, cost) and recommend targeted improvements.
• Establish architecture patterns and best practices specific to your problem domain. Document tradeoffs, rationale, and implementation guidance to help teams move faster and make consistent decisions.
• Guide teams through complex technical decisions and design reviews. Challenge assumptions with data, surface architectural risks early, and help teams navigate tradeoffs between shipping speed and long-term durability.
• Collaborate across ITSM/ITOM engineering teams to share learnings, validate approaches, and accelerate adoption of patterns that work.
Qualifications
To be successful in this role, you have:
15+ years of related engineering experience, or equivalent practical experience.
Strong experience building and operating large-scale distributed systems, enterprise platforms, workflow systems, data-intensive products, integration frameworks, or cloud-scale infrastructure.
Deep understanding of system design for scale, reliability, observability, fault tolerance, data quality, security, and production readiness.
Strong technical depth in Java, Python, or similar programming languages.
Proven ability to define technical direction, influence architecture across teams, and translate ambiguous product strategy into executable engineering plans.
Ability to operate as a Principal IC by leading through technical credibility, collaboration, and influence rather than formal authority.
Strong judgment in balancing long-term architecture with pragmatic execution, customer impact, engineering velocity, and business priorities.
Experience mentoring senior engineers, raising engineering standards, and building reusable patterns that create leverage across teams.
Experience with AI-powered products, automation platforms, AI-assisted workflows, or agentic systems is strongly preferred.
Ability to reason about AI-assisted enterprise workflows, including data quality, workflow correctness, evaluation, observability, safety controls, and human-in-the-loop review.
Experience with enterprise service management, IT operations, CMDB, discovery, service mapping, AIOps, observability, workflow automation, endpoint management, or operational intelligence is a strong plus.
Experience working with large-scale enterprise customers, production systems, and complex migration or modernization efforts is a plus.
Why Join Us
Shape the AI-native future of the Service Operations Business Unit product portfolio on the ServiceNow Platform.
Build foundational product and platform capabilities that help enterprises deliver, operate, automate, and continuously improve services at scale.
Define how AI agents, automation, operational data, and human workflows come together to create safer, more reliable, and more productive enterprise operations.
Collaborate with teams that value craftsmanship, quality, innovation, accountability, and meaningful customer impact.
For positions in this location, we offer a base pay of $221,200 - $387,100, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
Additional Information
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
ServiceNow (NYSE: NOW) makes the world work better for everyone. Our cloud-based platform and solutions help digitize and unify organizations so that they can find smarter, faster, better ways to make work flow. So employees and customers can be more connected, more innovative, and more agile. And we can all create the future we imagine. The world works with ServiceNow.
For more information, visit www.servicenow.com.
Offices: 2225 Lawson Lane, Santa Clara, CA 95054, US · 680 George St, Sydney, New South Wales 2000, AU · 90 Collins St, Melbourne, VIC 3000, AU · Staines, GB · Amsterdam, NL
Service ManagementEnterprise CloudCustom App DevelopmentPlatformITSMSecurity OperationsCustomer Service ManagementITOMGRCHR Service Delivery
How much do Data & Analytics jobs in Santa Clara, CA pay?
Based on 888 listings with disclosed salaries, most data & analytics jobs in Santa Clara, CA pay between $131k–$334k per year. Individual offers vary with seniority, company size, and specialization.
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Companies currently hiring include NVIDIA, Applied Materials, ServiceNow, Pure Storage, Amazon, among others. Browse the listings above to see every active employer.
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