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Remote Computer Hardware Engineer Jobs in Pennsylvania

Data Ideology LLC

Edge ML / Embedded Engineer

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent ... hardware that was never designed for it, we invite you to apply. Work Environment: * Remote work ...

Motorola

$75K - $85K/yr

Remote position and candidates can be located anywhere in the US. There will be in excess of 75 ... Server hardware / Workstation hardware. * Previous experience in Public Safety Applications ...

Thinc Forward

Systems Integration Engineer

West Chester, PA · On-site +1

$158K/yr

Conduct onsite and remote assessments of client environments to determine infrastructure needs ... Strong working knowledge of networking concepts, hardware, and infrastructure (LAN/WAN, firewalls ...

The Pennsylvania State University

$86K - $129K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Support field testing Required skills/experiences include : * 3D CAD design and engineering drawing ...

GAI Consultants

Assistant CAD Operator 3

Homestead, PA · On-site +1

$17.75 - $24.25/hr

This position requires working with engineering and other technical subject matter experts in all ... The successful candidate will have the ability to work at a GAI office, hybrid or fully remote. Job ...

The Pennsylvania State University

$14.75 - $19.75/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... hardware Preferred Skills: * Mechanically inclined or the ability to learn and be comfortable ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Prototyping, hardware manufacturing, and rapid design iteration * NX and Solidworks * Abaqus ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... autonomous agents, hardware and systems for AI, edge and federated learning, AI security and ...

GAI Consultants Inc.

Assistant CAD Operator 3

Homestead, PA · On-site +1

$17.75 - $24.25/hr

This position requires working with engineering and other technical subject matter experts in all ... The successful candidate will have the ability to work at a GAI office, hybrid or fully remote. Job ...

Motional

Staff Machine Learning Engineer

Pittsburgh, PA · On-site +1

What We're Looking For (Must-Haves): * BS in Computer Science, Machine Learning, or a related field ... hardware efficiency * Proven ability to mentor peers, explain complex trade-offs to leadership, and ...

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All JobsComputer Hardware Engineer JobsRemote Computer Hardware Engineer JobsRemote Computer Hardware Engineer Jobs in Pennsylvania

Remote Computer Hardware Engineer information

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

To thrive as a Remote Computer Hardware Engineer, you need a solid background in electrical engineering, computer architecture, and hardware design, typically supported by a relevant bachelor's degree. Familiarity with CAD tools (such as Altium Designer or AutoCAD), hardware description languages (like VHDL or Verilog), and version control systems is essential. Strong analytical thinking, self-motivation, and effective virtual communication skills set outstanding engineers apart in remote environments. These abilities ensure efficient hardware development, seamless collaboration with distributed teams, and the successful delivery of high-quality products.

What does a Remote Computer Hardware Engineer do?

A Remote Computer Hardware Engineer designs, develops, tests, and oversees the production and installation of computer hardware components such as processors, circuit boards, memory devices, and networks, all while working from a remote location. They collaborate with software developers, troubleshoot hardware issues, and ensure that devices function efficiently and reliably. Remote engineers use digital communication and collaboration tools to work with teams and clients, making it possible to contribute to projects without being onsite. Their role is critical in advancing computing technology and supporting the infrastructure behind modern digital systems.

What is the difference between Remote Computer Hardware Engineer vs Remote Network Engineer?

AspectRemote Computer Hardware EngineerRemote Network Engineer
CredentialsBachelor's in Computer Engineering or related field, certifications like CompTIA A+ or Cisco CCNABachelor's in Computer Science or Networking, certifications like Cisco CCNA or CompTIA Network+
Work EnvironmentDesign, test, and troubleshoot hardware components remotely, often collaborating with manufacturing teamsDesign, implement, and maintain network infrastructure remotely, troubleshooting connectivity issues
Industry UsageElectronics manufacturing, hardware development companiesIT service providers, telecommunications, enterprise networks
Search & Comparison IntentUnderstanding hardware design roles vs network setup rolesDistinguishing between hardware design and network management jobs

Remote Computer Hardware Engineers focus on designing and testing physical components of computers remotely, while Remote Network Engineers manage and troubleshoot network systems. Both roles require technical certifications and often work in tech or manufacturing industries, but their core responsibilities differ significantly.

How do Remote Computer Hardware Engineers effectively collaborate with cross-functional teams despite working offsite?

Remote Computer Hardware Engineers often work closely with design, software, and testing teams using collaboration tools like video conferencing, shared repositories, and project management platforms. Regular virtual meetings and clear documentation are key to maintaining alignment and ensuring that hardware specifications meet project goals. While physical prototyping may require shipping components or coordinating with on-site staff, most design and troubleshooting tasks can be handled remotely with simulation software and remote desktop access. Building strong communication habits is essential to overcome the challenges of physical distance and keep projects on schedule.
What are the most commonly searched types of Computer Hardware Engineer jobs in Pennsylvania? The most popular types of Computer Hardware Engineer jobs in Pennsylvania are:
What are popular job titles related to Remote Computer Hardware Engineer jobs in Pennsylvania? For Remote Computer Hardware Engineer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Computer Hardware Engineer jobs in Pennsylvania look for? The top searched job categories for Remote Computer Hardware Engineer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Computer Hardware Engineer jobs? Cities in Pennsylvania with the most Remote Computer Hardware Engineer job openings:
Remote Computer Hardware Engineer jobs near you
Infographic showing various Remote Computer Hardware Engineer job openings in Pennsylvania as of June 2026, with employment types broken down into 2% As Needed, 81% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 8% Hybrid, and 7% Remote job distribution.
Edge ML / Embedded Engineer

Edge ML / Embedded Engineer

Data Ideology LLC

Pittsburgh, PA • On-site, Remote

$111K - $133K/yr

Contractor

Posted 16 days ago

Job description

Data Ideology
At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious. For more information about Data Ideology, visit www.dataideology.com
Edge ML / Embedded Engineer- (Contract 1099)
We are seeking a specialized Edge ML / Embedded Engineer to join our team on a contract engagement at the intersection of constrained hardware and on-device machine learning. This is a discovery, architecture, and feasibility engagement - the primary output is a validated technical architecture and a constrained proof-of-concept demonstrator that shows the core concept works, not a production system. The right candidate thrives in ambiguous early-stage technical work, is energized by the challenge of making AI run on hardware that was never designed for it, and produces clear written findings when the answer is 'it depends on specs we don't have yet.' For more information about Data Ideology, visit www.dataideology.com
Key Responsibilities
  • Assess target edge hardware against the requirements of an on-device inference loop: evaluate processor architecture, available memory, OS and runtime environment, and whether candidate edge runtimes (such as IoT Greengrass or equivalent) can be supported.
  • Evaluate candidate edge inference frameworks for CPU-only SLM deployment - including TensorFlow Lite, ONNX Runtime, llama.cpp, and equivalents - assessing quantization approaches, inference latency, and memory footprint against feasibility targets confirmed during discovery.
  • Assess real-time data ingestion feasibility from operational subsystem interfaces, evaluating candidate patterns for consuming concurrent data streams within the memory and compute constraints of the target hardware.
  • Design and evaluate local data store options for the on-device SLM context, including storage formats, retrieval latency, and update mechanisms appropriate for the edge environment.
  • Build a constrained feasibility demonstrator on laptop or workstation hardware using simulated data feeds. The demonstrator validates the interaction model and core architectural approach - it is not a production prototype and does not connect to operational systems.
  • Implement a small number of scoped interaction flows in the demonstrator, integrating the voice interface pipeline with the SLM inference and local data retrieval components as agreed through the engagement scope.
  • Collaborate with the AI/ML Architect on SLM selection, domain restriction approach, and inference pipeline design - providing hardware and runtime constraint inputs that shape what is architecturally feasible.
  • Collaborate with the AWS Solutions Architect on the edge-to-cloud data channel, identifying what can realistically be buffered and transmitted from a constrained edge device under variable connectivity conditions.
  • Document hardware assessment findings, framework evaluations, and architectural trade-offs as Architecture Decision Records (ADRs) with explicit rationale. Clearly flag where recommendations are conditional on hardware or interface specifications not yet confirmed.
  • Communicate technical constraints and feasibility findings clearly to both technical architects and non-technical client stakeholders throughout the engagement.

Supervisory Responsibilities: None
Qualifications
Education and Experience:
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent professional experience in embedded systems or edge computing.
  • 5+ years of hands-on experience in embedded systems engineering, edge computing, or on-device machine learning, with demonstrated work on constrained hardware environments.
  • Expert-level proficiency with at least one edge ML inference framework: TensorFlow Lite, ONNX Runtime, llama.cpp, or equivalent. Experience optimizing and quantizing models for CPU-only inference is required.
  • Strong understanding of memory management, real-time data stream handling, and concurrent processing in resource-constrained environments. Experience with C++, Rust, or Python with tight memory management is strongly preferred.
  • Experience with embedded Linux or equivalent OS environments, including ARM-based processors, limited RAM, and environments without GPU availability.
  • Familiarity with real-time data ingestion from hardware interfaces or industrial systems - including serial protocols, message bus architectures, or event-driven pipelines at the edge.
  • AWS familiarity preferred, specifically IoT Greengrass as a candidate edge runtime and IoT Core for device-to-cloud connectivity. Hands-on implementation experience is not required but direct familiarity strengthens the candidate's ability to evaluate candidate architectures.
  • Experience with voice-to-text or text-to-speech pipelines in offline or low-connectivity environments is a plus.
  • Comfortable operating in a Phase 0 discovery and feasibility mode - producing assessment findings, ADRs, and a constrained demonstrator rather than production-ready software.
  • Strong written communication skills with the ability to document hardware constraint findings, framework evaluations, and architectural trade-offs in formats usable by both technical architects and client stakeholders.
  • Experience working in consulting or client-facing project environments is preferred.

If you are an embedded systems or edge ML engineer who is energized by early-stage technical discovery work - evaluating what is feasible before committing to what will be built - and you bring deep hands-on experience making AI work on hardware that was never designed for it, we invite you to apply.
Work Environment:
  • Remote work from home.
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.

Physical Demands:
  • Must be able to remain in a stationary position 50% of the time.
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
  • The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.

Data Ideology is an EEO Employer

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