Full-Time

IT Engineer

IT Engineer

Etched

Etched

201-500 employees

Generates open-world, interactive game environments

Compensation Overview

$150k - $250k/yr

San Jose, CA, USA

In Person

Relocation support available for those moving to San Jose (Santana Row).

Category
IT & Security (2)
,
Required Skills
TCP/IP
PowerShell
Bash
Python
Microsoft Intune
Computer Networking
Role-based Access Control
SOC 2
Linux/Unix
Requirements
  • Experience across macOS, Windows and Linux is needed for IT support or engineering roles.
  • Hands-on experience with endpoint management tools (e.g., Jump, Cloud, Jamf, Intune, Kandji) is required.
  • Experience with enterprise VPNs, wireless networking, and zero-trust access models is required.
  • Scripting and automation proficiency (Python, Bash, PowerShell) is required.
  • Knowledge of security best practices, incident response, and identity/access management (IAM) is required.
  • Strong networking expertise including configuring and troubleshooting TCP/IP, DNS, DHCP, VLANs, and firewalls is required.
Responsibilities
  • Provide hands-on IT delivery and support for the entire firm, including ASIC design teams, software and platform engineering, business operations, and scale-out computing teams.
  • Lead onboarding and offboarding processes to ensure seamless access aligned with engineering and leadership workflows.
  • Maintain robust documentation of IT assets, systems, access protocols, and ticket workflows.
  • Manage on-site and remote laptops, desktops, and networking equipment with attention to ease of use, security, and remote manageability.
  • Deploy and administer MDM and MAM solutions for Mac and Windows devices.
  • Implement and maintain antivirus, antimalware, Endpoint Detection & Response (EDR), and Extended Detection & Response (XDR).
  • Drive hardware procurement, staging, imaging, and maintenance for development and operations teams.
  • Implement and administer Single Sign-On (SSO) across core services, ensuring secure and frictionless user authentication. Okta experience a bonus
  • Automate user provisioning and deprovisioning workflows using Rippling, Okta, Google Workspace, and FreeIPA to streamline access management and reduce errors.
  • Enforce role-based access controls and audit trails to align with compliance and security standards.
  • Design, deploy, and maintain wired and wireless networks, including Wi-Fi access points (WAPs) and controller administration.
  • Configure and manage VPN infrastructure to provide secure remote access for distributed teams.
  • Administer firewalls, ensuring proper segmentation, policy enforcement, and protection of sensitive environments.
  • Develop automation scripts (Python, Bash, PowerShell) to streamline provisioning, patching, monitoring, and user lifecycle management.
  • Integrate monitoring and alerting systems to reduce manual workload and increase reliability.
  • Champion a culture of operational excellence, ensuring IT systems meet compliance standards (e.g., SOC 2, ISO 27001).
  • Coordinate with external vendors and partners to evaluate new products, support existing offerings, and to resolve IT issues.
  • Partner closely with engineering, security, and operations teams to align IT strategy with business and technical goals.
  • Managing a mixed-OS engineering environment (Linux for EDA tools, Windows/macOS for general use) — including imaging, patching, and security hardening.
  • Designing and maintaining secure network infrastructure (VPNs, VLANs, firewalls, access control) to protect sensitive chip design IP.
  • Implementing and managing endpoint/device lifecycle systems (procurement, setup, MDM, retirement) for engineering and operations teams.
  • Deploying and integrating compute resources (on-prem servers and cloud environments) to support large-scale simulations and hardware workflows.
  • Building scalable onboarding/offboarding and IT automation workflows to ensure fast, secure ramp-up for new engineers and smooth transitions.
  • Strong understanding of networking fundamentals: VPNs, VLANs, firewalls.
  • Skilled in endpoint management, system imaging, and hardware lifecycle management.
  • Proficient with ticketing systems and adept at prioritizing tasks in busy environments.
  • Excellent communication skills and ability to work effectively with engineering teams in fast-paced, innovative settings.
Desired Qualifications
  • 5-7+ years in an IT support or engineering role with experience across macOS, Windows and Linux.
  • Excellent problem-solving skills, with a proactive and ownership-driven mindset.
  • Experience working in a fast-paced startup environment.
  • Proven experience with endpoint management tools (e.g., Jump,Cloud, Jamf, Intune, Kandji).
  • Hands-on expertise in enterprise VPNs, wireless networking, and zero-trust access models.
  • Strong background in EDR/XDR platforms (e.g., ThreadDown, CrowdStrike, SentinelOne).
  • Scripting and automation proficiency (Python, Bash, PowerShell).
  • Knowledge of security best practices, incident response, and identity/access management (IAM).
  • Strong networking expertise, including configuring and troubleshooting TCP/IP, DNS, DHCP, VLANs, and firewalls.
  • Exposure to cloud platforms (AWS, Azure, GCP) or a developer-oriented compute infrastructure is a plus.

Etched builds Oasis, an AI model that creates playable open-world video games. Oasis generates entire game worlds with interactive, explorable environments, enabling developers to design expansive experiences rather than just producing non-interactive media. Unlike other AI video models that yield only prompts-to-video outputs, Oasis focuses on dynamic game-generation capabilities that deliver a playable world. The company differentiates itself by offering a toolset specifically for game development, licensing technology to studios or providing a platform to create new games, rather than generic AI outputs. The goal is to empower game developers to quickly craft large, living game worlds by using AI-driven world-generation technology.

Company Size

201-500

Company Stage

Late Stage VC

Total Funding

$625.4M

Headquarters

San Jose, California

Founded

2022

Simplify Jobs

Simplify's Take

What believers are saying

  • Hyperscalers (AWS, Meta, Microsoft) acquire Etched to vertically integrate AI chips.
  • Oasis licensing generates recurring revenue from game studios and indie developers.
  • Transformer dominance in AI workloads sustains Sohu demand through 2027–2028.

What critics are saying

  • TSMC capacity constraints delay Sohu production ramp by multiple quarters.
  • Nvidia releases transformer-optimized CUDA software, neutralizing Etched's performance advantage.
  • Oasis faces IP infringement claims from game publishers over Minecraft-like generation.

What makes Etched unique

  • Sohu ASIC claims 20x faster transformer inference than Nvidia H100 GPUs.
  • Oasis generates real-time, interactive open-world games from user keyboard input.
  • Transformer-only architecture eliminates software complexity of general-purpose GPU compilers.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Flexible Work Hours

Remote Work Options

Paid Vacation

Paid Sick Leave

Paid Holidays

Hybrid Work Options

Stock Options

Company Equity

401(k) Retirement Plan

401(k) Company Match

Performance Bonus

Profit Sharing

Employee Stock Purchase Plan

Relocation Assistance

Employee Referral Bonus

Parental Leave

Family Planning Benefits

Fertility Treatment Support

Adoption Assistance

Childcare Support

Elder Care Support

Wellness Program

Mental Health Support

Gym Membership

Phone/Internet Stipend

Home Office Stipend

Conference Attendance Budget

Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

-2%

1 year growth

3%

2 year growth

9%
SiliconANGLE Media
Jan 14th, 2026
AI chip unicorns Etched.ai and Cerebras Systems get big funding boost to target Nvidia

AI chip unicorns Etched.ai and Cerebras Systems get big funding boost to target Nvidia - SiliconANGLE

Bloomberg Law
Jan 13th, 2026
Etched raises $500M at $5B valuation to challenge Nvidia in AI chip market

AI chip startup Etched has raised approximately $500 million in a funding round led by Stripes, valuing the company at $5 billion. Billionaire Peter Thiel participated in the round, alongside Positive Sum and Ribbit Capital. The investment brings Etched's total capital raised to nearly $1 billion as it seeks to compete with Nvidia in the rapidly expanding artificial intelligence processor market. The California-based company is developing specialised chips designed to challenge Nvidia's dominance in AI hardware, though specific details about its technology and commercial strategy were not disclosed.

Securities.io
Mar 13th, 2025
Emerging Technologies Shaping The Future Of Ai Hardware

A New Type Of ComputingWith the last few years of exponential progress in AI technology, major winners have been the builders of AI hardware. This is because modern AI, mostly using neural network technology, uses computing power in a very different way from classical computers.Instead of performing complex calculations with a powerful CPU, they instead perform thousands or millions of simpler calculations in parallel.(You can learn more about how neural networks were invented and work in “Investing in Nobel Prize Achievements – Artificial Neural Networks, The Basis Of AI”)So far, graphic cards, or GPUs (Graphics processing units), have been the favored tool to develop AI, dramatically boosting the revenues and profits of leaders in the sector like Nvidia (NVDA +0.39%).The market for AI hardware is expected to keep growing exceptionally quickly, at 31.2% CAGR from 2025 to 2035This period should also see the emergence of many new types of AI hardware, as the GPUs repurposed for AI calculation are progressively replaced by chips designed specifically for this application.In the long run, more exotic forms of computing are likely to make their way into the AI hardware market, from application-specific designs to non-silicon chips or even using actual biological neurons.How AI Thinking WorksThe fundamental difference between classical supercomputers and AIs is how data is processed. Instead of solving complex calculations, neural networks create virtual nodes connected into a network. While the initial neural network contained barely a few dozen nodes, making a few hundred connections, modern neural networks like the ones used by ChatGPT use trillions of possible connections, reaching levels of complexity not dissimilar to the human brain. This different method of calculus requires hardware able to perform millions of operations in parallel, even if the computing power dedicated to each is relatively small.Luckily, this is a type of hardware that has already been in operation for many years, such as graphic rendering using GPUs, mostly for 3D simulation and videogames, and also uses this type of many small calculations in parallel.This is why the initial (and current) winner of the race to secure enough AI chips has been Nvidia, the leader in the GPU market.Ever Quicker GPUsWith the invention of more efficient algorithms and the quick progress in artificial intelligence they created, the potential applications of AI exploded in the 2020s.This led to an ever-increasing race to secure enough hardware, especially Nvidia GPU in 2023.In parallel, increasing expectations from AI potential applications require ever smarter AI, which itself requires more computing power. And while securing more GPUs was a solution, better GPUs were needed as well.The industry delivered, with a 1,000x growth in performance in less than 8 years.Can It Last?There are signs that progress in GPU performances might soon slow down. First, all the “easy” improvements, like making GPUs bigger and with smaller and denser transistors, are getting maxed out

InfoQ
Nov 10th, 2024
Decart and Etched Release Oasis, a New AI Model Transforming Gaming Worlds

Decart.ai and Etched.ai recently introduced Oasis, an AI-driven model that generates a fully interactive, real-time open-world experience inspired by Minecraft.

CryptoSlate
Jun 26th, 2024
Is The Nvidia Top In As Etched Launches Asic For Llms 20X Faster Than H100 Gpus?

Etched is making waves in the artificial intelligence hardware space with its revolutionary new AI accelerator chip. The Silicon Valley startup, founded in 2022 by Harvard dropouts Gavin Uberti and Chris Zhu, has developed a custom application-specific integrated circuit (ASIC) called Sohu that is purpose-built to run transformer models – the architecture behind today’s most advanced AI systems.Etched transformer ASICS for LLMsEtched claims its Sohu chip can process AI workloads up to 20 times faster than Nvidia’s top-of-the-line GPUs while using significantly less power. With $120 million in fresh funding and partnerships with major cloud providers, Etched is positioning itself as a formidable challenger to Nvidia’s dominance in AI chips.Performance of Sohu vs top GPUs (Etched)Primary Venture Partners and Positive Sum Ventures led the funding round, which included participation from high-profile investors like Peter Thiel, Github CEO Thomas Dohmke, and former Coinbase CTO Balaji Srinivasan. As transformer models continue to drive breakthroughs in generative AI, Etched’s specialized hardware could reshape the landscape of AI computing.Etched’s approach targets the complexities of GPUs and TPUs, particularly the need to handle arbitrary CUDA and PyTorch code, which demands sophisticated compilers. While other AI chip developers like AMD, Intel, and AWS have invested billions into software development with limited success, Etched is narrowing its focus. By exclusively running transformers, Etched can streamline software development for these models.Most AI companies use transformer-specific inference libraries such as TensorRT-LLM, vLLM, or HuggingFace’s TGI