Semiconductors · USA · updated daily
Semiconductor companies in the USA hiring now
The semiconductor companies with the most open roles in the USA right now are NVIDIA, Qualcomm and Micron. 53% of their open roles in the USA are in hardware & robotics. Most roles sit in Santa Clara, Austin and San Jose. 9% of these roles are remote. The list includes multinationals with large teams in the USA, not only startups. Every role comes from the company’s own careers page and is re-checked daily.
5,524
open roles in USA
53%
of roles in hardware & robotics
19%
of roles in software engineering
9%
of roles are remote
Where the roles are:Santa Clara 44%Austin 22%San Jose 18%San Diego 16%
Companies
Who is hiring in USA
Cerebras Systems
Sunnyvale, US · Series G
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Its products include the Wafer Scale Engine 3 (WSE-3) semiconductors, CS-3 supercomputers, and AI inference and training cloud APIs. The company delivers sub-second inference speeds and breakthrough training performance for enterprises, research labs, and government agencies.
89 open roles12% remote
Etched
San Jose, US
The company co-designs chips, racks, software, and manufacturing to deliver high-throughput, low-latency inference for both prefill and decode workloads. Its products are sold as full rack-scale systems, not just chips.
87 open roles2% remote
Tenstorrent
Toronto, CA · Series D
Tenstorrent designs and manufactures AI hardware and software for data processing and machine learning tasks. Tenstorrent develops AI hardware and software solutions for data processing and machine learning application.
68 open roles31% remote
Altera
San José, CR · Private Equity
Altera’s broad end-to-end portfolio includes FPGAs, CPLDs, software, IP, development tools and accelerated computing platforms that provide the flexibility and performance needed to accelerate innovation across industries.
68 open roles37% remote
Lightmatter
Mountain View, US · Series D
Lightmatter builds photonic interconnects and AI accelerators that use light instead of electrical signals to process and transmit data. Its Passage product is a silicon photonics interconnect system that transmits data between computing components using light.
62 open roles2% remote
SiFive
santa clara, US · Series G
SiFive provides RISC-V processor designs for developers building custom chips. Its portfolio supports edge computing, machine learning and AI applications.
55 open roles
PsiQuantum
Palo Alto, US · Series E
PsiQuantum is building a commercially viable silicon photonic quantum computer using photonic qubits and leveraging mature semiconductor manufacturing processes. PsiQuantum offers a software package called Construct for companies to design algorithms that might one day run on the computer.
47 open roles100% remote
Fab2
Austin, US
Fab2 builds semiconductor fabrication equipment and software for chip design. It makes its own tools and components and uses automation to develop manufacturing processes.
47 open roles0% remote
Ayar Labs
San Jose, US · Series D
Ayar Labs develops co-packaged optics (CPO) solutions that use light instead of electricity to move data faster and with lower power. Its TeraPHY optical engine and SuperNova light source enable high-bandwidth, low-latency data transfer for AI and high-performance computing infrastructure.
37 open roles0% remote
MatX
Mountain View, US · Series B
MatX designs hardware tailored for the world's best AI models, dedicating every transistor to maximizing performance for large models. MatX makes high-throughput chips for LLMs, targeting training, RL, inference prefill, and inference decode.
36 open roles81% remote
Omni Design Technologies
Milpitas, US · Series A
Omni Design Technologies provides high-performance, ultra-low power IP solutions across advanced CMOS nodes. It delivers Wideband Signal Processing solutions using high-performance, ultra-low power semiconductor IP core products built on advanced FinFET process nodes.
30 open roles0% remote
Velaura AI
santa clara, US · Series C
Velaura AI develops ultra-low-power compute technology for cloud, edge, and physical AI applications.
29 open roles0% remote
Lumilens
San Jose, US
Lumilens designs, develops, and manufactures near-package optics, co-packaged optics, and pluggable optical transceivers for hyperscaler AI data centers. The company's LumiCore platform spans silicon photonics, mixed-signal ICs, electrical-optical interposers, and optical systems.
25 open roles0% remote
DensityAI
Mountain View, US · Seed
DensityAI develops AI chips, hardware and software for data centers.
24 open roles
Efficient Computer
Pittsburgh, US · Series A
Efficient Computer builds the world's most energy-efficient general-purpose processors, delivering up to 100× better efficiency than low-power CPUs. Its Electron E1 processor is built on the Efficient Fabric spatial dataflow architecture and is programmable using standard high-level languages and AI/ML frameworks.
23 open roles67% remote
Celero Communications
irvine, US · Series B
Optical networking chips for AI data centers
20 open roles
Mythic
Austin, US
Mythic is the only analog compute-in-memory platform delivering 100x efficiency gains for the innovators who need AI inference at scale without the unsustainable energy cost, with technology proven across data center, automotive, robotics, and defense applications.
19 open roles15% remote
Positron
reno, US · Series B
Positron develops silicon chips and accelerators for running AI models.
18 open roles72% remote
Tensordyne
Sunnyvale, US · Series C
Tensordyne provides custom silicon and systems designed to run large artificial intelligence (AI) models, aiming to reduce infrastructure and operational costs. The company offers purpose-built processors for compute intensive visual perception AI inference processing.
17 open roles
Unconventional AI
San Francisco, US · Seed
Unconventional AI is building a new physical substrate for intelligence to achieve biology-scale energy efficiency. The company offers a novel computing architecture that bypasses the limitations of traditional von Neumann systems, enabling customers to accelerate artificial intelligence workloads with energy efficiency and reduced data bottlenecks.
16 open roles100% remote
Eliyan
Santa Clara, US · Series C
Eliyan provides silicon-proven NuLink PHYs and NuGear chiplet families for die-to-die and chip-to-chip connections. Its technologies enable customers to build higher-performance systems with greater memory capacity and improved efficiency.
13 open roles0% remote
nEye Systems
Santa Clara, US · Series C
nEye develops MEMS-based silicon photonics optical circuit switches (OCS) that enable direct optical connections among thousands of GPUs and memory units. The company's SuperSwitch is an ultra-low power consumption, high radix, compact chip-scale design for hyperscale data centers.
11 open roles0% remote
HyperLight
Cambridge, US · Series C
HyperLight develops high-performance photonic integrated circuits (PICs) powered by thin-film lithium niobate (TFLN). The company offers a comprehensive suite of TFLN-based products and customized solutions spanning design, manufacturing, advanced testing, and integration.
11 open roles0% remote
TYLsemi
TYLsemi supplies chiplets for AI computing infrastructure. Its products provide connectivity, power and efficiency functions that customers integrate into advanced silicon systems.
11 open roles43% remote
NextSilicon
Givatayim, IL · Series C
NextSilicon’s flagship product is the Maverick-2 Intelligent Compute Accelerator, a dataflow accelerator that provides adaptable hardware acceleration for HPC and AI applications.
10 open roles27% remote
Extropic
Austin, US · Seed
Extropic is building thermodynamic computing hardware that is radically more energy efficient than GPUs.
9 open roles0% remote
Ethernovia
San Jose, US · Series B
Ethernovia develops Ethernet-based networking solutions for software-defined and autonomous vehicles, robotics, and intelligent machines.
9 open roles21% remote
Architect Labs
Palo Alto, US · Seed
Architect Labs builds AI models and tools for on-demand custom ASICs at scale. Its AI system co-designs, optimizes, and provably verifies chips end-to-end for a customer's specification or target workload.
8 open roles0% remote
AttoTude
Menlo Park, US · Series C
AttoTude is developing next-generation AI infrastructure and networking technologies designed to dramatically improve the reliability and economics of AI interconnect systems. AttoTude is pioneering a next-generation interconnect platform for AI and hyperscale infrastructure that combines advanced ASIC signal generation with low-loss dielectric waveguides to enable high-bandwidth connectivity.
7 open roles50% remote
PowerLattice
Vancouver, US · Series A
The chiplet tightly couples power and compute, reducing total compute power needs by more than 50%.
6 open roles0% remote
Open roles
Newest roles in USA
NVIDIA
US, CA, Santa Clara
Cloud Services Software Engineer
US, CA, Santa Clara
—
today
NVIDIA
US, CA, Santa Clara
Senior Technical Program Manager, Cloud Infrastructure
US, CA, Santa Clara
—
today
Ethernovia
San Jose, CA
Principal IC Package Design Engineer
San Jose, CA
$200k–$265k
1d ago
Positron
Spokane, WA
Senior Mechanical Engineer, Manufacturing
Spokane, WA
$185k–$250k
1d ago
Qualcomm
San Diego, California, United States of America
Embedded ML SW Architect -- Snapdragon Mobile (Principal or Director level)
San Diego, California, United States of America
$235k–$352k
1d ago
Qualcomm
San Diego, California, United States of America
Sr. Engineer, AI Platforms and Solutions
San Diego, California, United States of America
$118k–$177k
1d ago
Qualcomm
Santa Clara, California, United States of America
NPI Program Manager (Staff)
Santa Clara, California, United States of America
$202k–$303k
1d ago
TYLsemi
San Jose, CA
Staff Thermal & Thermo-Mechanical Analysis Engineer - Contractor
San Jose, CA
—
1d ago
Semiconductor hiring in the USA
Cerebras Systems: Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Its products include the Wafer Scale Engine 3 (WSE-3) semiconductors, CS-3 supercomputers, and AI inference and training cloud APIs. The company delivers sub-second inference speeds and breakthrough training performance for enterprises, research labs, and government agencies. Etched: The company co-designs chips, racks, software, and manufacturing to deliver high-throughput, low-latency inference for both prefill and decode workloads. Its products are sold as full rack-scale systems, not just chips. Tenstorrent: Tenstorrent designs and manufactures AI hardware and software for data processing and machine learning tasks. Tenstorrent develops AI hardware and software solutions for data processing and machine learning application.
The roles they hire for
Across the open roles in the USA today, the mix is hardware & robotics (53%), software engineering (19%), sales & business development (4%), ai & machine learning (4%) and program & project management (4%).
How to get hired at semiconductor companies in the USA
These teams hire from their own careers pages, so the first applications get read first. Apply in the first day a role is up, tailor your resume to the role's own words, and answer the screening questions like you already work there. landed does all three for you: it watches every company on this page and applies the moment a fitting role goes up.
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Frequently asked
Which semiconductor companies in the USA are hiring the most?
Right now: NVIDIA, Qualcomm, Micron, Intel and Texas Instruments. The list above shows startups first, then larger companies, each ranked by its open roles in the USA today.
Where in the USA are they hiring?
Most roles are in Santa Clara, Austin, San Jose and San Diego.
Do semiconductor companies in the USA hire remotely?
9% of the roles here are listed as remote. Each company page shows its own remote share.
What roles do semiconductor companies in the USA hire for?
The most common are hardware & robotics, software engineering and sales & business development.
Are these startups or big companies?
Mostly established companies. Semiconductor hiring in the USA is led by multinationals with large local teams, so they are listed here alongside the startups.
Can landed apply to these companies for me?
Yes. landed watches every company on this page, applies on each company’s own site the moment a fitting role goes up, and writes the answers for every role. Your first 25 applications are free.