Cushman & Wakefield Logo

Cushman & Wakefield

Marvell Transition

Posted 28 Days Ago
Be an Early Applicant
In-Office
Santa Clara, CA, USA
4K-5K Annually
Entry level
In-Office
Santa Clara, CA, USA
4K-5K Annually
Entry level
The job description provides no specific responsibilities, qualifications, technologies, location, travel requirements, or experience expectations. It only includes compensation, benefits, equal employment information, and accommodation instructions.
The summary above was generated by AI

Job Title

Marvell Transition

Job Description Summary

Job Description




Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.


The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate’s experience and qualifications.


The company will not pay less than minimum wage for this role.


The compensation for the position is: $ 0.85 - $1.00

Cushman & Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.

In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman & Wakefield, please call the ADA line at 1-888-365-5406 or email [email protected]. Please refer to the job title and job location when you contact us.

INCO: “Cushman & Wakefield”

Cushman & Wakefield Burlingame, California, USA Office

Burlingame, United States

Cushman & Wakefield Concord, California, USA Office

Concord, United States

Cushman & Wakefield Larkspur, California, USA Office

Larkspur, United States

Cushman & Wakefield Mountain View, California, USA Office

Mountain View, United States

Cushman & Wakefield Oakland, California, USA Office

Oakland, United States

Cushman & Wakefield Pleasanton, California, USA Office

Pleasanton, United States

Cushman & Wakefield San Francisco, California, USA Office

San Francisco, United States

Cushman & Wakefield San Jose, California, USA Office

San Jose, United States

Cushman & Wakefield Santa Clara, California, USA Office

Santa Clara, United States

Cushman & Wakefield Sunnyvale, California, USA Office

Sunnyvale, United States

Similar Jobs

16 Minutes Ago
In-Office
121K-247K Annually
Mid level
121K-247K Annually
Mid level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Design and implement RTL for HBM SoC logic die, integrate internal and third-party IP, support SoC-level integration (clocking, reset, power intent), assist pre-/post-silicon validation and bring-up, and collaborate cross-functionally to meet performance, power, area, and manufacturability targets.
Top Skills: Agentic AiBiraBisrCadenceDramHardware EmulationHbmMbistPalladiumPerlPythonRtl-To-Gds FlowShell ScriptingSiemens EdaStatic Timing AnalysisSynopsysSynthesisSystemverilogTclVeloceVerilogZebu
17 Minutes Ago
In-Office
San Jose, CA, USA
120K-204K Annually
Senior level
120K-204K Annually
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Develop NAND Flash memory array waveforms, wordline and bitline architectures, core and mixed-signal circuits, schematics, and simulations. Perform circuit verification, layout planning, parasitic extraction, power and reliability analysis, and die-size optimization. Build Python-based automation and AI-assisted EDA workflows. Collaborate with firmware, analog, validation, manufacturing, test, process integration, assembly, and marketing teams to deliver cost-effective, reliable memory products.
Top Skills: BashCadenceCsvDrcFast SpiceGitHspiceJSONLinuxLvsNand FlashPythonSpiceSqliteTclUnixVerilog
17 Minutes Ago
In-Office
San Jose, CA, USA
168K-374K Annually
Expert/Leader
168K-374K Annually
Expert/Leader
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Define and evolve advanced ASIC and compute architectures, develop specifications and RTL, oversee synthesis and physical design interactions, and evaluate performance, power, area, timing, and scalability. Model systems, validate proof-of-concept designs, guide complete ASIC flows through implementation readiness, collaborate with engineering and external partners, and transition new architectures into product development and long-term technology roadmaps.
Top Skills: AsicHigh-Level SynthesisLogic SynthesisPhysical DesignPlace-And-RouteRtlStatic Timing AnalysisSystem ModelingSystemverilogVerilog

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account