As a Hardware Engineer, design and build a neural network accelerator, focusing on RTL design, verification, and collaboration with team members for functional correctness and performance.
As a Hardware Engineer, you will join femtoAI’s hardware team to help design and build our novel neural network accelerator. Working in a small, highly collaborative group, you will contribute directly to RTL design, microarchitecture implementation, and functional correctness of core hardware blocks.
Depending on your interests and strengths, your work may emphasize RTL development, design verification, or both, with opportunities to grow into deeper specialization over time. You will also gain exposure to the broader hardware development lifecycle, including verification infrastructure and backend design considerations.
Responsibilities
- Design and implement RTL for components of a neural network accelerator
- Translate architectural specifications into efficient, maintainable hardware implementations
- Collaborate with hardware architects and verification engineers to ensure functional correctness and performance targets
- Write tests, assertions, or simple verification environments to validate your designs
- Contribute to improving internal hardware design and verification workflows using scripting and automation
- Participate in design reviews, debugging, and bring-up of new hardware blocks
Requirements
The candidate must have:
- Proficiency in HDL languages like SystemVerilog and/or VHDL
- Strong foundation in digital design, computer architecture, and VLSI through coursework or projects
- Familiarity with ASIC or FPGA design flows
- Proficiency in Python for scripting and automation
- Strong technical communication skills and ability to collaborate across disciplines
- BS, MS, or PhD in Electrical Engineering, Computer Engineering, or a related field
The ideal candidate will also have:
- Experience or coursework involving RTL design and microarchitecture
- Proficiency with UVM design verification frameworks
- Knowledge of physical design and verification
- Experience or coursework related to on-chip interconnects
- Interest in or exposure to machine learning accelerators
Benefits
- 401(k)
- Medical insurance
- Vision insurance
- Dental insurance
- Commuter benefits
- Disability insurance
- Paid maternity leave
- Paid paternity leave
- Child care support
femtoAI is an equal opportunity employer committed to a diverse workforce which strives to create an inclusive working environment empowering everyone to do their best work. We do not discriminate on the basis of race, ethnicity, religion, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.
Similar Jobs
Aerospace • Hardware • Robotics • Software • Manufacturing
Design, test, and analyze custom avionics electronics for the Terran R vehicle. Own hardware development across the product lifecycle: concept, board bring-up, verification, qualification, production, integration, and vehicle operations. Collaborate with cross-functional teams to ensure reliable, manufacturable electronics delivered on schedule.
Top Skills:
AltiumBoard-Level DesignData AnalysisDebuggingEcadHardware Bring-UpValidation
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Design, implement, integrate, test, and debug spacecraft dynamic models and interface software for real-time simulators and emulators. Support hardware/software integration, produce design and test documentation, collaborate with multidisciplinary teams, support STE testbeds, and provide simulation operation and maintenance support in an agile CI/CD environment.
Top Skills:
Agile/ScrumBitbucketC++Devops ToolchainGitlabHardware-In-The-LoopI/O Device ProgrammingJavaJavaScriptPciePerlPythonReal-Time SimulationVisual BasicVme
Aerospace • Hardware • Robotics • Software • Manufacturing
Lead and manage an avionics hardware team to design, build, test, qualify, and support custom electronics for Terran R across the full product lifecycle, coordinating cross-functional integration and enforcing rigorous engineering processes.
Top Skills:
AdcsDacsDc-Dc ConvertersEmbedded SoftwareEthernetHigh-Voltage Dc ElectronicsLoad SwitchesMemory InterfacesMicrocontrollersMicroprocessorsMotor Drives And ControlPcieSocsSpi
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
