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Remote Computer Chip Engineer Jobs (NOW HIRING)

CAD Automation Engineer

Norwood, OH ยท On-site +1

$60K - $155K/yr

We are looking for a CAD Automaton Engineer to join our team at Innomotics. The Industry-Leader of ... Position is held in Norwood, Ohio with a hybrid office/remote schedule. Travel is rare but may be ...

ASIC/SOC CAD Engineer

Mountain View, CA ยท On-site +1

$175K - $362K/yr

MatX is seeking a Physical Design CAD Engineer to join our team as we create best-in-class silicon ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

Remote Sensing Technician (RST) primary duties are for field data collection of remote sensing data ... Associate or bachelor's degree in a science, engineering, computer-based, or related field ...

CAD Engineer - AI Trainer

Detroit, MI ยท Remote

$70 - $90/hr

Position: CAD Engineer -- ScreenSpot Plus (Screenshot Capture & UI Annotation) Type: Contract ... Remote Role Responsibilities * Capture high-quality screenshots of professional CAD software during ...

$80K - $110K/yr

Our partner is looking for a Senior Applied Computer Vision Engineer based in Netherlands. Join a ... The environment is remote-first, flexible, and driven by innovation, giving you the autonomy to ...

You will work closely with product, engineering, and data teams to design intelligent systems ... Bachelor's degree in Computer Science, AI, Data Science, or related field preferred. * Experience ...

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Remote Computer Chip Engineer information

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$48.5K

$121.5K

$137.5K

How much do remote computer chip engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote computer chip engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Computer Chip Engineer, and why are they important?

To thrive as a Remote Computer Chip Engineer, you need a strong background in electrical engineering, digital/analog circuit design, and semiconductor fundamentals, typically supported by a relevant degree. Familiarity with CAD tools like Cadence or Synopsys, experience with HDL languages (such as Verilog or VHDL), and knowledge of simulation and verification systems are essential. Excellent problem-solving, self-motivation, and effective remote communication skills set top engineers apart in virtual teams. These competencies ensure high-quality chip development, efficient collaboration, and successful project delivery in a remote work environment.

What does a Remote Computer Chip Engineer do?

A Remote Computer Chip Engineer designs, develops, tests, and optimizes microchips and integrated circuits while working from a remote location. They use specialized software tools to create blueprints, simulate chip behavior, and collaborate with other engineers online. Their work is crucial in developing faster, more efficient processors and electronic devices. By working remotely, they leverage digital communication and project management tools to coordinate with teams around the world.

What are some common challenges faced by Remote Computer Chip Engineers, and how can they be addressed?

Remote Computer Chip Engineers often face challenges related to effective collaboration, particularly when working across different time zones or with team members in various locations. Communication about design updates, debugging, and hardware testing can require extra coordination. To address these issues, teams typically use robust project management tools, regular video meetings, and clear documentation practices. Establishing strong communication channels and proactively sharing progress help ensure everyone stays aligned and projects move forward efficiently.
More about Remote Computer Chip Engineer jobs
What cities are hiring for Remote Computer Chip Engineer jobs? Cities with the most Remote Computer Chip Engineer job openings:
What are the most commonly searched types of Computer Chip Engineer jobs? The most popular types of Computer Chip Engineer jobs are:
What states have the most Remote Computer Chip Engineer jobs? States with the most job openings for Remote Computer Chip Engineer jobs include:
Infographic showing various Remote Computer Chip Engineer job openings in the United States as of July 2026, with employment types broken down into 83% Full Time, 11% Part Time, and 6% Contract. Highlights an 6% In-person, and 94% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

AI Engineer: Computer Vision, LLMs & ML (Remote)

Intellus Build

San Francisco, CA โ€ข Remote

Full-time

Re-posted 28 days ago


Job description

Intellus Build Make Construction Intelligent

Work with ex-Narvar Founding CTO (Unicorn, $1B+). 6 AI patents. Enterprise AI pedigree: Google DCDE, Oracle, Macy's, Walmart Labs.

We're hiring founding team members to transform how the $12T global construction industry buildsfrom residential to mission-critical infrastructure.

AI Engineer: Computer Vision, LLMs & ML

Engineer the AI driving next-generation construction.

Location: Remote-US (San Francisco Bay Area Hybrid Preferred)

Type: Full-time

Compensation: Founding-team equity (12%) + base salary

Construction creates the world around usyet still runs on WhatsApp, spreadsheets, and gut feel. Sites generate terabytes of data dailyyet none of it tells anyone what to do next.

This isn't a data problem. It's an Intelligence problem.

We're building the nervous system for construction. Think Palantir meets Procore, but actually usable by contractors. Our first customers are already begging for access.

You'll be the founding AI engineer, building alongside our founder and construction industry veterans. Async-first. Remote-friendly. Zero bureaucracy. No meetings about meetings. Just ship code that moves dirt and dollars.

You'll turn cutting-edge LLM and vision research into tools that run on dusty job sites and mobile devices.

About the Role

Intellus Build is the Infrastructure of Truththe AI-native operating system that connects dirt to dollars.

The Problem: Construction sites generate terabytes of unstructured data dailyphotos, documents, videos, sensor readings. Currently, this valuable information goes to waste.

Your Mission: Build AI systems that transform construction chaos into actionable intelligence.

What You'll Build

As the founding AI engineer, you'll tackle problems that don't have Stack Overflow answers:

  • Build RAG systems that understand construction terminologyteach AI the difference between 'pour concrete' and 'poor concrete'
  • Deploy computer vision that detects safety violations from grainy phone photos taken at 6 AM
  • Create AI assistants that answer 'What's the status of the Stanford dorm project?' by reasoning across blueprints, contracts, RFIs, and daily photo logs
  • Design real-time progress tracking that works even when construction sites have terrible WiFi
  • Build domain-aware AI that makes construction sites safer and more efficient
  • Build verification systems that track equipment from PO to energization across complex supply chains
Requirements

You are:

  • Recent graduate from top AI program (Stanford AI Lab, MIT CSAIL, or equivalent) OR 23+ years building production ML systems
  • Focused on practical AI applications, not just research demos
  • Comfortable with the full ML stack: data processing model selection deployment monitoring
  • Able to move quicklyyou prototype in hours, not weeks
Must Have
  • Shipped at least one LLM-based application used by real users
  • Experience with RAG, embeddings, and vector databases
  • Strong Python skills plus PyTorch, TensorFlow, or JAX
  • Ability to explain complex ML concepts to non-technical stakeholders
Nice to Have
  • Computer vision experience (YOLO, Segment Anything, etc.)
  • Published ML research or Kaggle competition medals
  • Experience with construction, manufacturing, or industrial datasets
  • Track record of optimizing inference costs
What You'll Work With

We're flexible on the stack, but likely:

  • LLM APIs: OpenAI, Anthropic, Geminimulti-model approach
  • Orchestration: LangChain, LlamaIndex, or custom frameworks
  • Vector stores: Pinecone, Weaviate, or pgvector
  • ML frameworks: PyTorch, TensorFlow, or JAX

You'll help shape these choices as we build.

Why This Role Matters
  • Real-world impact: Your models will help prevent workplace injuries and save lives
  • Unique datasets: Access to proprietary construction data that competitors don't have
  • Greenfield opportunity: Define the AI strategy from day one
  • Domain expertise: Work directly with construction industry veterans
  • Mission-critical scale: Your models will power verification for facilities where downtime isn't an option
  • Pedigree: A Stanford StartX company (elite sub-1% accelerator)
Ready to Build?

You'll complete two quick assessments to show us what you can do.

Top scorers get interviewed. We move fast. No bureaucracy.

Intellus Build is an equal opportunity employer. We welcome candidates from all backgrounds.