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If the employer provides it, yes. If not, we attempt to estimate using salary bands from public and private datasets (Pro only).

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Which San Francisco companies are actively hiring hardware engineers?

Apple, Meta, Google, and Nvidia lead hiring, alongside hardware startups like Cerebras, SiFive, and Mythic. Many companies offer equity packages and signing bonuses to compete for talent.

What's the typical salary range for hardware engineers in San Francisco?

Entry-level positions start around $135K-155K, mid-level ranges $165K-200K, and senior roles reach $220K-280K+. Total compensation often exceeds $300K with equity at major tech companies.

Which San Francisco neighborhoods are popular with hardware engineers?

SOMA and Mission Bay offer proximity to tech offices, while Sunset and Richmond provide better housing value. Many commute from Peninsula cities like Redwood City or Mountain View for more space.

Are there hardware engineering meetups and communities in San Francisco?

SF Hardware Meetup, Silicon Valley Hardware Engineers, and IEEE SF Bay Area chapter host regular events. Many companies also sponsor internal tech talks open to the broader community.

What types of hardware engineering roles are most in-demand?

AI/ML chip design, wireless/RF engineering, and power management lead demand. Semiconductor verification, FPGA development, and automotive electronics also show strong growth.

How does San Francisco's hardware scene compare to other tech hubs?

SF offers unique access to both established semiconductor giants and cutting-edge startups. The proximity to venture funding and Silicon Valley's hardware ecosystem creates unmatched career acceleration opportunities.

What's the typical interview process for hardware engineering roles?

Expect 4-6 rounds including technical deep-dives, circuit design problems, and system architecture discussions. Many companies include hands-on lab sessions or take-home design challenges.

Hardware Engineer
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San Francisco startups funded

Corgi

Founded 2024

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$160M raised51-200 employeesSeries BB2B

Corgi is an AI-native, full-stack insurance carrier built for startups, using modern infrastructure and artificial intelligence to handle underwriting, policy management, and claims so it can deliver fast, flexible commercial insurance tailored to growing companies.[2][5]

Raised

$160M

Series B · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

Standard Intelligence

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$75M raised1-10 employeesSeries ASeries A

Standard Intelligence is a San Francisco-based AI research lab building foundation models optimized for computer use — agents that interact with software through its graphical interface. Its FDM-1 model is trained on video footage rather than annotated screenshots, using an inverse dynamics model to auto-generate captions, and ships with a video encoder the team says is roughly 100x more efficient than comparable alternatives. The six-person team is pursuing what it calls aligned artificial general intelligence by scaling agentic capabilities through video pretraining.

Raised

$75M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

HockeyStack

Founded 2021

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$50M raised51-200 employeesSeries AB2B

HockeyStack is a San Francisco-based enterprise revenue intelligence platform that builds AI Revenue Agents for go-to-market teams. Its event-based data architecture and machine-learning Blueprint model power autonomous agents that work alongside reps on prospecting, new business, and account expansion, with customers including Microsoft, New Relic, and Harvey.

Raised

$50M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

Noon

Founded 2024

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$44M raised11-50 employeesSeries APlatform

Noon is an AI-native product design tool that bridges the gap between product design and engineering. Unlike traditional design tools that produce static visual mockups, Noon pulls code directly from a team's codebase and design system, ensuring what a designer produces is what ships. AI is embedded throughout to handle repetitive tasks while keeping designers in creative control. Founded in October 2024 by IIT Guwahati alumni Aditya Bandi and Kushagra Sinha.

Raised

$44M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco

United States

Ulysses

Founded 2023

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$38M raised1-10 employeesSeries ASeries A

Ulysses is a San Francisco-based technology company building The Ocean Company — networked fleets of low-cost, autonomous surface and underwater vehicles engineered for persistent operation in harsh maritime environments. The platform spans mine countermeasures and intelligence, surveillance and reconnaissance for contested waters, protection of subsea critical infrastructure, offshore inspection, and ocean-conservation work such as seagrass restoration; flagship products include MAKO, a small autonomous underwater vehicle positioned as the "Model T for the ocean", and Leviathan, an autonomous surface mothership and maritime domain awareness platform. Founded in Dublin in 2023 by Akhil Voorakkara, Will OBrien, Jamie Wedderburn and Colm OBrien, the company now operates from 1640 17th Street, San Francisco, and counts the US Navy among its active customers.

Raised

$38M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

Afresh

Founded 2017

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$34M raised51-200 employeesSeries BB2B

Afresh is a San Francisco-based AI platform for the grocery industry, founded in 2017 by Matt Schwartz, Nathan Fenner, and Volodymyr Kuleshov. Its software orchestrates store-level ordering, inventory management, production planning, and distribution-center buying across fresh, center store, frozen, and general merchandise. Afresh operates in more than 12,500 departments across 40 U.S. states and partners with grocers including Albertsons Companies, Meijer, Stater Bros., and Wakefern.

Raised

$34M

Series B · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

Judgment Labs

Founded 2025

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$32M raised11-50 employeesSeries APlatform

Judgment Labs builds infrastructure that turns AI agents production data — reasoning traces, tool calls, retries, memory — into evals, alerts, and continuous-improvement loops. Its platform analyzes the full agent trajectory rather than just final outputs, surfacing failure patterns so teams can ship targeted fixes. Founded by three childhood friends (Alex Shan, Andrew Li, Joseph Camyre), the San Francisco company already powers monitoring at a growing roster of agent-native startups.

Raised

$32M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

Comfy

Founded 2024

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$30M raised11-50 employeesSeries BPlatform

San Francisco-based Comfy Org is the team behind ComfyUI, a node-based workflow platform that gives visual professionals granular control over AI image, video, 3D, and audio generation. Originally released as an open-source project in 2023, ComfyUI has grown to more than four million users and a 60,000-node community ecosystem, and is used by studios, ad agencies, and enterprise creative teams as production infrastructure. Alongside the open-source tool the company operates Comfy Cloud, a hosted runtime for teams that need collaboration, security, and managed compute.

Raised

$30M

Series B · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco

United States

Hilbert's AI

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$28M raised11-50 employeesSeries APlatform

Hilbert's AI (legally Hilbert AI Co.) is a San Francisco-based analytics and decision-automation software company that builds an AI-native growth platform for consumer (B2C) brands. The product unifies marketing, product and commerce data, uses deep-learning agents to interpret customer behaviour and recommend next-best actions, and quantifies the financial upside of each recommendation before execution — compressing multi-month analytics projects into weeks. Walmart and other consumer brands use Hilbert's to turn AI spend into measurable growth outcomes, with the platform also serving as a forecasting engine for customer-base and revenue trajectories.

Raised

$28M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, CA

United States

Treeline

Founded 2025

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$25M raised11-50 employeesSeries AAI/ML

Treeline is a San Francisco-based AI-powered IT, security, and compliance platform for growing tech companies, founded by Peter Doyle (CEO) and Hussain Kader (CTO). The platform acts as a full external IT and security team, offering 24/7 AI-enhanced help desk, automated workflows, continuous monitoring, and integrations with tools like Okta, Crowdstrike, Google Workspace, and Vanta. Treeline delivers 80% faster response times and automates 98% of IT tickets, positioning itself as a modern IT operating system for fast-scaling businesses.

Raised

$25M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

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Interview prep for Hardware Engineer roles

Hardware engineering interviews focus heavily on circuit design, signal integrity, and system architecture understanding.. Explore key insights and preparation tips to help you excel in your interview process.

CODING PREP

Moderate coding expectations

Hardware engineers face lighter coding rounds than pure software roles, typically focusing on embedded C/C++, Python scripting, and basic algorithms.

DifficultyMedium

Focus on embedded programming patterns

Start Coding Prep

SYSTEM DESIGN COURSES

Hardware system architecture

Design complete hardware systems from power management to signal processing, emphasizing real-world constraints and trade-offs.

Power Systems
Power delivery and thermal management
Signal Integrity
High-speed digital design principles
System Integration
Multi-board and mixed-signal systems

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COMPANY INSIGHTS

Company-specific focus areas

Different hardware companies emphasize distinct technical domains and design methodologies in their interview process.

Apple
Consumer electronics, power efficiency, miniaturization
NVIDIA
GPU architecture, parallel processing, high-performance computing

Start Practicing

Why San Francisco stands out

Compare cost-of-living buying power and how crowded the market is versus other major tech cities—so you can focus your search where the odds fit your goals.

Strategic ROI Despite Premium Market

While San Francisco commands higher living costs, hardware engineers benefit from 35-40% salary premiums over New York baseline rates. Housing costs approximately 15% above NYC levels, but proximity to venture capital, stock options, and Silicon Valley's hardware ecosystem delivers superior long-term career ROI.

New York baseline100

San Francisco (15% lower)85

Favorable Market Positioning

San Francisco offers better hardware engineer job availability compared to oversaturated East Coast markets. Strong demand from semiconductor startups and established tech giants creates multiple pathways.

San Francisco

Boston

New York

Frequently Asked Questions

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