Santa Clara, California, United States · Hybrid
$203k–$226k/yr
Interested candidates based outside of the designated areas are welcome to apply, provided they have the indefinite right to work in the job location. Cohesity is a leader in AI-powered data security and management. Aide…
Skills: Performance Analysis, Performance Modeling, GoLang, Python, Computer Operating Systems
Santa Clara, California, United States · Remote OK
$184k–$357k/yr
NVIDIA is looking for an experienced GPU and network systems Solutions Architect & Engineer. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production …
Skills: GPU Architecture, Network Design, Linux Kernel, Infiniband, Ethernet
Santa Clara, California, United States · On-site
$184k–$357k/yr
NVIDIA is redefining what is possible in AI, accelerated computing, and large-scale compute systems. Within NVIDIA Infrastructure Services (NVIS), we help customers, OEMs, and NVIDIA teams bring advanced GPU systems from…
Skills: Engagement Management, Technical Delivery, Infrastructure Architecture, Risk Management, Stakeholder Management
Santa Clara, California, United States · On-site
$152k–$288k/yr
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: C++, 3D Computer Vision, Multi-view Geometry, Structure from Motion, SLAM
Santa Clara, California, United States · On-site
$272k–$431k/yr
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: C++, 3D Computer Vision, Multi-view Geometry, Structure from Motion, SLAM
Santa Clara, California, United States · On-site
$174k–$257k/yr
About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology …
Skills: Account Strategy, Strategic Relationship Management, Contract Negotiation, Sales Forecasting, Pipeline Management
Santa Clara, California, United States · On-site
$184k–$357k/yr
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC-gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU-accelerated deep learning ignited modern AI—…
Skills: Full-stack Engineering, AI Application Architecture, TypeScript, JavaScript, React
Santa Clara, California, United States · On-site
$224k–$357k/yr
Our Automotive Platform Team is building the software foundation for scalable, high-performance vehicle computing platforms that power autonomous driving, ADAS, digital cockpit, and centralized vehicle architectures. We …
Skills: C++, Python, TensorRT, CUDA, Deep Learning Inference
Santa Clara, California, United States · On-site
$176k–$242k/yr
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…
Skills: Vacuum System Design, Electrochemical Plating, Wet Cleaning Systems, Semiconductor Hardware Development, System Engineering
Santa Clara, California, United States · On-site
$147k–$203k/yr
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…
Skills: Precision Engineering, Mechatronics, Optomechanical Integration, Motion Systems, Controls Integration
Santa Clara, California, United States · On-site
$100k–$137k/yr
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…
Skills: Electrical Architecture, Power Distribution, Tool Interlock Systems, Safety Systems, I/O Control Systems
Santa Clara, California, United States · On-site
$151k–$226k/yr
About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology …
Skills: SoC Emulation, Palladium, Veloce, Zebu, Verilog
Santa Clara, California, United States · On-site
$124k–$171k/yr
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…
Skills: Product Change Management, Engineering Change Order, Bill of Materials, Product Roadmap Implementation, Vendor Management
Santa Clara, California, United States · On-site
$147k–$203k/yr
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…
Skills: Precision Engineering, Mechatronics, Optomechanical Integration, Motion Systems, Controls Integration
Santa Clara, California, United States · On-site
$172k–$237k/yr
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…
Skills: Strategic Marketing, Market Analysis, Portfolio Management, Business Planning, Market Segmentation
Santa Clara, California, United States · On-site
$100k–$137k/yr
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…
Skills: Electrical Architecture, Power Distribution, Tool Interlock Systems, Safety Systems, I/O Control Systems
Santa Clara, California, United States · On-site
$97k–$145k/yr
About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology …
Skills: System Verilog, Verilog, Synopsys VCS, Python, Linux
Santa Clara, California, United States · Hybrid
$164k–$312k/yr
Job Details: Job Description: Responsibilities will include but are not limited to: Develop and drive analog and mixed-signal IP architectures, signal processing algorithms, and calibration algorithms for system-on-chip …
Skills: Analog and Mixed-Signal Design, High Speed PHY, System Architecture, Signal Processing Algorithms, Calibration Algorithms
Santa Clara, California, United States · On-site
$124k–$230k/yr
Be at the forefront of innovation with NVIDIA! Our CUDA Libraries & Frameworks Product Marketing Manager role offers an outstanding opportunity to build the future of accelerated computing. This is your chance to join an…
Skills: Product Marketing, CUDA, AI Coding Agents, Developer Relations, Go-To-Market Strategy
Santa Clara, California, United States · On-site
$200k–$322k/yr
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
Santa Clara, California, United States • Hybrid
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The role focuses on modeling, measuring, and analyzing the performance of the DataProtect platform to identify improvement opportunities. Responsibilities include designing storage-oriented workloads, creating simulation models, and collaborating with development teams to enhance product quality and cost.
Requires a minimum of 10 years of experience and a degree in Electrical Engineering, Computer Science, or equivalent. Candidates must possess strong scripting skills in GoLang or Python and deep knowledge of hardware architecture and performance benchmarking.
Interested candidates based outside of the designated areas are welcome to apply, provided they have the indefinite right to work in the job location.
Cohesity is a leader in AI-powered data security and management. Aided by an extensive ecosystem of partners, Cohesity makes it easy to secure, protect, manage, and get value from data — across the data center, edge, and cloud. Cohesity helps organizations defend against cybersecurity threats with comprehensive data security and management capabilities, including immutable backup snapshots, AI-based threat detection, monitoring for malicious behavior, and rapid recovery at scale.
We’ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design.
Join us on our mission to shape the future of our industry.
As a Staff Performance engineering, you will work as part of a team responsible for modeling, measurement, and analysis of DataProtect’s performance. The overall focus of this role is a part, is on competitive market and customer requirements, technology advances, product quality, product cost and time-to-market. Performance engineers focus on performance analysis and improvement for new products and features as well as enhancements to existing products and features.
This position requires an individual to be broad-thinking and systems-focused, creative, team-oriented, technologically savvy, and driven to produce results.
HOW YOU’LL SPEND YOUR TIME HERE:
Measure and analyze product performance to identify performance improvement opportunities
Design, implement, execute, analyze, interpret, socialize and apply storage-oriented performance workloads and their results, including the creation of tools and automation as necessary
Work closely with development teams to drive the performance improvement agenda
Evaluate design alternatives for enhanced performance, and prototype opportunities for performance enhancements
Create analytical and simulation-based models to predict storage systems performance
Responsible for non-routine and unstructured tasks, requiring creative solutions with more interdependencies and with processes that are less defined
Apply attained experiences and knowledge in solving problems that are complex in scope and which require requiring in-depth evaluation
Work effectively with Engineer to Vice-President to Product management level employees within the function, across functions and with external parties
Successfully convey information to stakeholders at many levels related to the position
Work effectively with senior engineers within Business Unit
Participate as a proactive contributor and subject matter expert on team projects
Demonstrate favorable results through regular coaching and mentoring others
WE’D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING:
A minimum of 10 years of experience is required. 10 to 12 years of experience is preferred.
A Bachelor of Science, Master’s of Science, or PhD Degree in Electrical Engineering or Computer Science; or equivalent experience is required.
Knowledge of performance analysis and modeling techniques, tools and benchmarking.
Extensive knowledge and experience in computer operating systems, hardware architecture and design and data structures
Strong scripting skills (GoLang, Python)
Exceptional presentation and interpersonal skills
The ability to make accurate work estimates and develop predictable plans
A creative and analytical approach to problem solving
Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision making is missing
Knowledge of storage, file systems and backup/restore.
Knowledge of Cloud instances, storage and networking resource limits
Understanding of performance tradeoffs when designing on-prem and cloud systems
The ability and willingness to adapt to rapidly changing work environments, and create/enhance automation frameworks (generally python-based) to improve productivity.
#LI-EM1
Disclosure Pursuant to Applicable State Equal Pay Transparency Laws - This position has a starting pay range as listed below. Actual salary depends upon many factors, including a candidate’s skills, qualifications and experience, location, and salary expectations, and therefore a starting salary at the low end, high end, or even above the stated range may be offered. This position may also be eligible for bonus compensation, commission (if in a sales function), and/or equity grants. Additionally, full-time employees are eligible to participate in our comprehensive benefits framework, including health and wellness benefits, vacation, paid holidays and refresh days, 401(k) retirement plan, life and disability insurance coverages, and other benefits the Company may offer from time to time.
Pay Range :
The compensation noted above is based on an annualized hourly rate assuming normal full-time employment.
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Equal Employment Opportunity Employer (EEOE)
Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 1-855-9COHESITY or [email protected] for assistance.
In-Office Expectations
Cohesity employees who are within a reasonable commute (e.g. within a forty-five (45) minute average travel time) work out of our core offices 2-3 days a week of their choosing.
Interested candidates based outside of the designated areas are welcome to apply, provided they have the right to work in the job location.
A modern platform for the AI era Our mission at Cohesity is simple: to protect, secure, and provide insights into the world’s data. The largest organizations around the globe rely on us to strengthen their business resilience. With the Cohesity Data Cloud, we are able to deliver on that mission. Our customers can recover from cyber events faster, manage and secure their data at enterprise scale, and gain valuable insights with our industry-leading AI capabilities.
Offices: 2625 Augustine Dr, Santa Clara, California 95054, US
Based on 1850 listings with disclosed salaries, most engineering jobs in Santa Clara, CA pay between $120k–$275k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 1,984 open engineering positions in Santa Clara, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Applied Materials, NVIDIA, Marvell Technology, Qualcomm, AMD, among others. Browse the listings above to see every active employer.
Yes — 338 of the 1984 open engineering positions offer remote or hybrid work (73 remote, 265 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
