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: Machine learning, Deep learning, Reinforcement learning, Python, PyTorch
Company Description Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. What sets us apart is our relentless pursuit of innovation. We …
Skills: PCB design, Layout, Manufacturing readiness, Schematic capture, Signal integrity
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 …
Skills: AI Platform Engineering, Agentic AI, System Design, Software Architecture, LLMs
Company Description Element Six, part of De Beers Group, is a global leader in the design, development and production of synthetic diamond and tungsten carbide supermaterials. With research and development facilities and…
Skills: Manufacturing, Polishing, Lapping, Inspection, Quality control
Anatomage Inc.
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Skills: Mechanical design, Product development, SolidWorks, 3D CAD, Prototyping
Senior Manager - Software Engineering Management - AI Engineering
Santa Clara, California, United States · Hybrid
$201k–$352k/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 …
Skills: Software engineering management, AI engineering, Cloud-native architecture, People leadership, Python
Assists in distributing tasks to team and conducts end-to-end hardware installation and troubleshooting. Leads cabling validation and problem solving to establish error free connections. Monitors, reviews, and analyzes t…
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Senior Program Manager - Infinity Fabric IP Silicon Design Engineering
Santa Clara, California, United States · On-site
Senior+$4.8B raised
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technolo…
Senior Reliability Test Engineer – Environmental Simulation Lab
Santa Clara, California, United States · On-site
$40/hr–$55/hr
Senior+
Company Description Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, he…
Conducts detailed technical assessments of supplier components at varying degrees of complexity and integration level. Collaborates with design and procurement teams to integrate supplier components into product developm…
Electrical Engineer New College Grad - BS/MS Degree (Santa Clara, CA)
Santa Clara, California, United States · On-site
$100k–$137k/yr
Mid level$2.2B raised
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible.…
About the Role We are seeking an IT & Infrastructure Lead to serve as Netpreme's first dedicated IT and infrastructure hire. You will own the systems, tools, and infrastructure the company operates on, from the software …
Skills: Linux, Unix, Systems administration, Networking, SaaS administration
Process Engineer New College Grad - BS/MS Degree (Santa Clara, CA)
Santa Clara, California, United States · On-site
$100k–$137k/yr
Mid level$2.2B raised
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Process engineering, Semiconductor manufacturing, Data analysis, Hardware characterization, Root cause analysis
Applied Scientists in AWS Automated Reasoning develop and apply bleeding-edge formal methods, automated reasoning techniques, and neurosymbolic approaches to ensure the security, reliability, and correctness of Amazon/AW…
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Project management, Process improvement, Resource alignment, Cost performance monitoring, Technical development
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
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Santa Clara, California, United States · On-site
$168k–$322k/yr
Senior+$29B raised
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Senior Program Manager, Quote-to-Cash Transformation & M&A Integration (B5)
Santa Clara, California, United States · On-site
$141k–$194k/yr
Senior+$2.2B raised
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Program management, Quote-to-cash, S/4HANA, M&A integration, Business transformation
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Process engineering, Semiconductor manufacturing, Data analysis, Hardware characterization, Troubleshooting
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$232k–$405k/yr
Full-time
postgraduate degree
Health plans, Flexible spending accounts, 401(k) plan with company match, Employee stock purchase plan, Matching donations, Flexible time away plan
Posted 11d ago
~40 hrs/week
Responsibilities
You will independently lead research workstreams focused on agent learning, recursive self-improvement, and the development of enterprise-grade AI agents. This involves designing end-to-end research projects, building improvement flywheels, and partnering with cross-functional teams to deploy validated methods into production systems.
Requirements
The role requires a PhD or equivalent advanced degree with over 10 years of relevant AI/ML research experience. Candidates must demonstrate strong foundations in machine learning, proficiency in Python and PyTorch, and a proven track record of leading high-impact research efforts.
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
About the team
Our Core AI Research team develops novel methods for enterprise agents that reason over multimodal information, use tools, take reliable action across stateful workflows, and improve through feedback. We work across LLM model post-training, agent harnesses, training environments, evaluations, ML, search and reasoning systems, partnering closely with product, engineering, infrastructure, security, and domain experts.
About the role
As a Staff Research Scientist, you will independently lead a major workstream in agent learning and recursive self-improvement. You will turn systematic failures and successful trajectories into hypotheses, experiments, training signals, and deployable improvements to model weights and/or the executable harness around the model.
This is a research role for someone who can move between scientific reasoning, training code, agent systems, and production constraints.
What you get to do in this role:
Design and execute end-to-end research projects that improve long-horizon enterprise agents across planning, reasoning, memory, tool use, retrieval, computer use, multi-agent coordination, and verification.
Research model post-training methods such as continued pretraining, supervised fine-tuning (SFT), RL, DPO/GRPO, reward modeling, and distillation.
Research harness-level optimization across prompts and task framing, tool and schema design, skills, MCP-backed providers, subagents, context and memory management, agent-loop policy, and reliable verifiers.
Build improvement flywheels that mine trajectories and production-safe signals, identify recurring failure modes, generate or curate data, propose interventions, and measure generalization before promotion.
Create realistic, stateful training environments and benchmarks for enterprise workflows, with programmatic verifiers and calibrated human or model-based graders where deterministic grading is not possible.
Run rigorous ablations and scaling experiments; reason explicitly about variance, contamination, reward hacking, distribution shift, cross-model transfer, cost, and latency.
Develop capabilities across one or more modalities - language, documents, images/video, and speech/audio - and across multilingual or cross-lingual settings.
Build reproducible distributed pipelines for training, rollout generation, evaluation, and inference; profile and resolve bottlenecks that only appear at scale.
Partner with other researchers, engineering, and product teams to move validated methods into reliable enterprise systems.
Communicate results through research reviews, technical reports, publications, patents, open-source contributions, and decision-ready recommendations.
Qualifications
To be successful in this role you have:
10+ years of relevant AI/ML research or engineering experience, or equivalent research depth and impact; PhD or other advanced degree required.
Track record of setting technical direction and leading multiple ambiguous, high-impact research efforts across team boundaries.
Strong foundations in machine learning, deep learning, reinforcement learning, and experimentation, with hands-on experience training or adapting large language or multimodal models.
Advanced Python and PyTorch skills, including modifying training code, data pipelines, evaluators, or research infrastructure.
Practical depth in agentic AI, including tool use, planning, memory, retrieval, environments, or long-horizon execution.
Experience designing decision-useful evaluations using robust datasets, trajectory analysis, graders or verifiers, and error analysis.
Experience with distributed training, rollout, or inference and modern post-training or serving stacks.
Strong software engineering fundamentals and evidence of research impact through publications, shipped systems, patents, benchmarks, or open source.
Preferred qualifications
Experience in multimodal, document AI, computer vision, speech/audio, or multilingual modeling.
Experience with enterprise agents, stateful workflows, computer use, tool protocols, or simulation environments.
Experience with synthetic data, model-generated feedback, automated experimentation, or search-based optimization.
Experience operating distributed GPU and experiment infrastructure.
What success looks like
You establish a portfolio of reproducible improvement loops for important enterprise-agent capabilities and deliver gains that generalize across tasks, domains, or models.
You translate multiple validated research results into production or shared-platform improvements adopted across teams, supported by clear quality, reliability, cost, and safety evidence.
You raise organization-wide research velocity and decision quality through reusable environments, evaluation infrastructure, methodology, and cross-team technical leadership.
For positions in this location, we offer a base pay of $231,500 - $405,100, 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 Engineering jobs in Santa Clara, CA pay?
Based on 2642 listings with disclosed salaries, most engineering jobs in Santa Clara, CA pay between $111k–$279k per year. Individual offers vary with seniority, company size, and specialization.
How many Engineering jobs are open in Santa Clara, CA right now?
There are currently 2,862 open engineering positions in Santa Clara, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Santa Clara, CA?
Companies currently hiring include Applied Materials, NVIDIA, Qualcomm, AMD, Amazon, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Santa Clara, CA?
Yes — 503 of the 2862 open engineering positions offer remote or hybrid work (86 remote, 417 hybrid).
How do I apply for Engineering jobs in Santa Clara, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.