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Computer Engineers In Usa Jobs in Pennsylvania (NOW HIRING)

LHi Group Ltd

Staff Machine Learning Engineer

Calumet, PA · On-site

$280K/yr

Remote (must be based in USA) * Work Authorization: ship or required due to government contract ... Bachelor's or Master's degree in Computer Science, Machine Learning, NLP, or a related field. A PhD ...

Stem Xpert

.net developer

Pittsburgh, PA · On-site

$46.75 - $62/hr

We have been recognized by Inc. 5000 fastest growing companies in USA with ranking # 192, #15 Top ... NET DEVELOPER . This is a 12+ months position based in CARBON DRIVE PITTSBURG,PA . If you are ...

Envestnet

Senior Software Engineer

Berwyn, PA · On-site +1

$157K - $188K/yr

Description Envestnet Financial Technologies, Inc. seeks Senior Software Engineers in Berwyn, PA ... Requires a Bachelor's Degree in Computer Science, Computer Engineering or a related field plus 6 ...

Envestnet

Senior Software Engineer

Berwyn, PA · On-site +1

$157K - $188K/yr

Envestnet Financial Technologies, Inc. seeks Senior Software Engineers in Berwyn, PA. Duties ... Requires a Bachelor's Degree in Computer Science, Computer Engineering or a related field plus 6 ...

Envestnet, Inc.

Senior Software Engineer

Berwyn, PA · On-site

$157K - $188K/yr

Description Envestnet Financial Technologies, Inc. seeks Senior Software Engineers in Berwyn, PA ... Requires a Bachelor's Degree in Computer Science, Computer Engineering or a related field plus 6 ...

Noblis

Software Engineer

Philadelphia, PA · On-site

$105K - $164K/yr

Responsibilities Noblis MSD is seeking Software Engineers in Philadelphia, PA. Noblis MSD's mission ... Computer Science, Electrical Engineering, and Computer Engineering degrees preferred, others will ...

Noblis

Systems Engineer

Philadelphia, PA · On-site

$95K - $149K/yr

Responsibilities Noblis MSD is seeking Systems Engineers in Philadelphia, PA. Noblis MSD's mission ... Computer Science, Electrical Engineering, and Computer Engineering degrees preferred, others will ...

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Computer Engineers In Usa information

What is the difference between Computer Engineers In Usa vs Software Developers In Usa?

AspectComputer Engineers In UsaSoftware Developers In Usa
Required CredentialsBachelor's in Computer Engineering or related field, certifications like Cisco or CompTIABachelor's in Computer Science or Software Engineering, certifications like Microsoft or AWS
Work EnvironmentDesigning hardware, embedded systems, and software integration in labs or officesDeveloping, testing, and maintaining software applications in offices or remote setups
Employer & Industry UsageTech companies, manufacturing, aerospace, and research institutionsTech firms, startups, financial institutions, and software service providers

Computer Engineers In Usa focus on hardware-software integration, embedded systems, and hardware design, often requiring engineering credentials. Software Developers In Usa primarily develop applications and software solutions, emphasizing programming skills. While both roles collaborate closely, their core responsibilities and work environments differ significantly.

Are computer engineers still in demand?

Computer engineers remain in high demand due to ongoing advancements in technology, software development, and hardware systems. They are needed in industries such as telecommunications, robotics, and cybersecurity, often requiring skills in programming, circuit design, and system integration.

How much do computer engineers in the USA make?

Computer engineers in the USA typically earn a median annual salary of around $120,000, with entry-level positions starting lower and experienced professionals earning significantly more. Salaries can vary based on location, experience, and specialization in areas such as hardware or software engineering.

Is computer engineering a good career?

Computer engineering is a strong career choice due to high demand for skills in software development, hardware design, and systems integration. It offers competitive salaries, opportunities for advancement, and requires proficiency in programming languages and technical certifications. The field often involves working in collaborative environments with evolving technologies.

What are popular job titles related to Computer Engineers In Usa jobs in Pennsylvania?

For Computer Engineers In Usa jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Computer Engineers In Usa jobs in Pennsylvania look for?

The top searched job categories for Computer Engineers In Usa jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Computer Engineers In Usa jobs?

Cities in Pennsylvania with the most Computer Engineers In Usa job openings:

Computer Engineers In Usa jobs near you
Infographic showing various Computer Engineers In Usa job openings in Pennsylvania as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Staff Machine Learning Engineer

LHi Group Ltd

Calumet, PA • On-site

$280K/yr

Other

Posted 16 days ago

Job description

  • Staff Applied Machine Learning Engineer
  • Remote (must be based in USA)
  • Work Authorization: ship or required due to government contract requirements
  • $230-280,000 base + Equity + Benefits

About the Opportunity
Our client is a rapidly growing, venture-backed AI company building secure, enterprise-grade AI solutions for highly regulated industries. Their platform helps organizations unlock the value of complex data by embedding AI into mission-critical workflows, improving decision-making, operational efficiency, and knowledge discovery.
As the company continues to scale, they are investing heavily in next-generation AI capabilities, including search, knowledge exploration, semantic reasoning, and agentic AI. This is an opportunity to join a high-caliber engineering team tackling technically challenging problems at production scale while helping shape the future direction of the platform.
The Role
As a Staff Applied Machine Learning Engineer, you will design, build, and deploy advanced machine learning solutions that power intelligent search, knowledge exploration, and AI-driven workflows.
You'll work closely with product, platform, and engineering teams to develop production-grade ML systems, combining strong software engineering fundamentals with expertise in modern AI techniques. This is a highly technical individual contributor role with significant ownership and influence over architectural decisions.
Responsibilities
  • Lead the design, development, and deployment of machine learning models for large-scale production systems.
  • Design and build intelligent search and knowledge exploration capabilities using modern ML techniques.
  • Develop systems involving knowledge graphs, semantic representations, and advanced entity understanding.
  • Collaborate with engineering and product teams to deliver end-to-end machine learning solutions.
  • Evaluate model performance, runtime efficiency, and scalability in production environments.
  • Communicate technical decisions, trade-offs, and recommendations to both technical and non-technical stakeholders.
  • Build high-quality enterprise software while maintaining a fast pace of delivery.
  • Take ownership of projects from design through implementation, deployment, and ongoing support.
  • Troubleshoot and support distributed production systems.
  • Stay current with advances in AI and machine learning and apply emerging techniques where appropriate.

Required Qualifications
  • ship or required.
  • Bachelor's or Master's degree in Computer Science, Machine Learning, NLP, or a related field. A PhD is strongly preferred.
  • 10+ years of experience building and deploying production machine learning systems.
  • Strong background in Natural Language Processing (NLP), information retrieval, or semantic search.
  • Experience designing and supporting knowledge graph or semantic representation systems.
  • Proven experience building and deploying Agentic AI systems, including orchestration, tool use, reasoning workflows, and context management.
  • Strong software engineering skills with experience building scalable distributed systems.
  • Experience working with production ML systems throughout their lifecycle.
  • Excellent communication and cross-functional collaboration skills.
  • Experience leveraging modern AI tools to improve engineering productivity.
  • Demonstrated curiosity, adaptability, and a continuous learning mindset.

Preferred Qualifications
  • PhD in Computer Science, Machine Learning, Artificial Intelligence, NLP, or a related discipline.
  • Experience working in startup or high-growth environments, particularly building 0?1 products.
  • Familiarity with Kubernetes and cloud-native infrastructure.
  • Experience integrating machine learning models into large-scale enterprise platforms.

Why Join?
  • Join a fast-growing, well-funded AI company solving complex real-world problems.
  • Work on cutting-edge technologies including Agentic AI, NLP, search, knowledge graphs, and semantic reasoning.
  • Collaborate with an experienced engineering team that values technical excellence, ownership, and innovation.
  • Competitive compensation and meaningful pre-IPO equity.
  • Fully remote position within the United States.

Apply