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Computer Wiring Jobs in New York (NOW HIRING)

You will also be integrating circuit boards into enclosures, wiring them and final testing the equipment once completed the data must be entered into a data base so basic computer skills are required.

Basic computer skills, including familiarity with Microsoft Excel * Knowledge of ISO/IEC 17025 preferred standards * Strong analytical and problem-solving skills * Ability to communicate effectively ...

... wires, balloons, and stints. -Responsible for all data analysis, processing data through computer and printing out all appropriate information. -Sets up and calibrates the intra-aortic balloon pump ...

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Computer Wiring information

What is computer wiring?

Computer wiring refers to the installation and organization of cables and wires that connect computer hardware components, such as CPUs, monitors, printers, and networking devices. Proper computer wiring ensures efficient data transmission, reduces electrical interference, and helps maintain a tidy and safe workspace. Technicians working in computer wiring are often responsible for setting up new systems, troubleshooting connectivity issues, and following industry standards for cable management.

What are the key skills and qualifications needed to thrive as a computer wiring technician?

To thrive as a Computer Wiring Technician, you need a solid understanding of electrical systems, cable management, and network infrastructure, often supported by a technical diploma or relevant certification. Familiarity with wiring tools, cable testers, and standards such as TIA/EIA or BICSI is typically required. Strong attention to detail, problem-solving abilities, and effective communication are essential soft skills in this field. These skills ensure reliable network performance, minimize downtime, and support safe, efficient installations in various environments.

What are the most common challenges faced by professionals working in computer wiring, and how can they be addressed?

Professionals in computer wiring often encounter challenges such as managing complex cable layouts, ensuring proper labeling, and maintaining tidy, organized workspaces to avoid confusion and errors. Troubleshooting connectivity issues and adhering to safety standards are also key aspects of the job. These challenges can be addressed by following industry best practices like using color-coded cables, regularly updating wiring diagrams, and collaborating closely with IT and facilities teams to ensure installations meet both technical and safety requirements.

What is the difference between Computer Wiring vs Network Cabling?

AspectComputer WiringNetwork Cabling
CertificationsBasic electrical and computer setup certificationsNetworking certifications like Cisco CCNA, CompTIA Network+
Work EnvironmentIndoor, technical workstations, server roomsData centers, office buildings, infrastructure sites
Industry UsageComputer hardware setup, internal wiringData transmission, internet, LAN/WAN setup

Computer Wiring involves connecting internal components and setting up hardware within computers, while Network Cabling focuses on installing cables that enable data transfer across networks. Both roles require technical skills but serve different purposes in IT infrastructure.

What cities in New York are hiring for Computer Wiring jobs?

Cities in New York with the most Computer Wiring job openings:

Infographic showing various Computer Wiring job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Member of Technical Staff (Software Engineer, Computer Growth)

Perplexity

New York, NY • On-site

$220K - $405K/yr

Full-time

Re-posted 13 days ago


Job description

In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Growth team owns the product loops that help them discover, adopt, and build lasting habits around our most important AI experiences.
As a growth engineer at Perplexity, you'll work across the full funnel - activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments - while also building the applied AI systems that make those experiences smarter. Engineers are responsible for end-to-end projects from training and productionizing classifiers to identify high-intent users, personalizing value discovery, shipping contextual onboarding experiments, or wiring new AI capabilities into measurable adoption and revenue outcomes.
Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product - we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end.
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS
Why Perplexity is different
  • Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
  • Ownership. You identify the problem, design the solution and ship it.
  • Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
  • Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
  • Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
What you'll do
  • Design, build, and own growth surfaces across the full funnel - activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments - for Computer and every Perplexity product.
  • Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel and learning quickly from each.
  • Build applied AI systems that power growth: classifiers for high-intent segments, personalization for value discovery, and AI-driven onboarding and recommendation surfaces.
  • Launch vertical-specific experiences (e.g., students, enterprise organizations) that connect new AI capabilities to measurable adoption and revenue outcomes.
  • Hill-climb on the metrics that matter: activation rate, paid conversion, retention, and habit formation, instrumented with clean data and trustworthy experiment readouts.
  • Partner closely with Product, Design, Data Science, Monetization, Marketing, and Applied AI to translate behavioral signals and model outputs into durable product surfaces.
Qualifications
  • 2+ years of professional software engineering experience (we're open to strong junior and mid-level candidates with a track record of shipping).
  • Full-stack engineering skills, with comfort across a modern web stack (we use Next.js, React, TypeScript on the frontend and Python on the backend).
  • Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome.
  • Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents).
  • Comfort with SQL and data-informed decision-making - you can pull, segment, and interpret your own funnel data.
  • Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions.
  • Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission.
  • Genuine interest and adoption of AI products and willingness to learn quickly.
Nice to have
  • Direct experience on a growth, activation, conversion, retention, or lifecycle team at a consumer or PLG/self-serve SaaS company.
  • Experience training and productionizing ML models (classifiers, ranking, personalization) and connecting them to product surfaces.
  • Experience with SEO, lifecycle marketing tooling, or paid acquisition surfaces.
  • Familiarity with subscription and/or usage based billing products, paywalls, or paid upgrade experimentation.
  • Experience shipping for both consumer and enterprise audiences.
  • Time spent at a fast-growing startup or on a high-ownership engineering team.
  • Familiarity with mobile development - Swift/Objective-C/Kotlin/Java, in-app payments, mobile release cycles, Apple App Store and/or Google Play Store guidelines, and rollout monitoring