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Remote Design Verification Engineer Jobs in New Jersey

A Software Engineer is needed to design, develop, and maintain modern software applications and ... Overview Location * US-Remote or Marlton, NJ area Job Title * Software Engineer Salary

IOS Developer (Remote)

Edison, NJ ยท On-site +1

$53.50 - $73.75/hr

IOS Developer Location: Remote project Duration: 12 months Description: Front End - Presentation ... Minimum 5 years of experience in Analysis , Design and Coding * Minimum 3 years of experience in ...

Job Title Solutions Sales Engineer Location: Hoboken, NJ or Remote with Travel Division : Revenue ... Support the sales cycle through technical discovery, demos, solution design, and proposal inputs.

Senior Software Engineer

Hoboken, NJ ยท On-site +1

$150K - $180K/yr

Remote - US | Team: Engineering - Enterprise Learning & Skills About the role We're looking for a ... Design, build, and maintain Ruby on Rails services and APIs alongside modern JavaScript/React ...

Job Title: Software Engineer, Full Stack Location: Remote Division: Technology Department ... You will work across the stack to design REST APIs, implement React and TypeScript interfaces, and ...

Senior Software Engineer

Hoboken, NJ ยท Remote

$150K - $180K/yr

Remote - US | Team: Engineering - Enterprise Learning & Skills About the role We're looking for a ... Design, build, and maintain Ruby on Rails services and APIs alongside modern JavaScript/React ...

Job Title Actuarial Analyst IV, Pricing Design - Remote Requisition Number R7833 Actuarial Analyst ... Proficiency in statistical analysis and programming languages, such as: SQL, R, Python, Emblem ...

Showing results 21-40

Remote Design Verification Engineer information

What is a remote design verification engineer?

Remote Design Verification Engineers are professionals who work from a remote location to ensure that hardware designs, such as integrated circuits or systems on a chip (SoC), function correctly according to their specifications. They use simulation and verification tools to test digital designs, identify bugs, and work closely with design teams to resolve issues. Their responsibilities often include writing test benches, developing verification plans, and automating tests to improve efficiency. This role requires a strong background in hardware description languages like Verilog or VHDL, as well as experience with verification methodologies such as UVM or SystemVerilog.

What are the key skills and qualifications needed to thrive as a remote design verification engineer?

To thrive as a Remote Design Verification Engineer, you need a solid background in digital design, verification methodologies (such as UVM or SystemVerilog), and a relevant engineering degree. Proficiency in simulation tools (like VCS or ModelSim), scripting languages (Python or Perl), and version control systems is typically required. Exceptional problem-solving abilities, attention to detail, and strong communication skills are crucial for effective collaboration in a remote environment. These competencies ensure accurate verification, efficient workflow, and high-quality deliverables in complex hardware development projects.

What are some common challenges faced by remote design verification engineers, and how can they be addressed?

Remote Design Verification Engineers often encounter challenges related to communication and collaboration, especially when working with global teams across different time zones. Maintaining clear and frequent communication through project management tools and regular video meetings is essential. Additionally, ensuring access to secure and reliable simulation environments can be a hurdle, so familiarity with remote access protocols and cloud-based verification tools is beneficial. Proactively documenting verification processes and results also helps keep everyone aligned and facilitates smoother project progress.

What is the difference between Remote Design Verification Engineer vs Remote Test Engineer?

AspectRemote Design Verification EngineerRemote Test Engineer
CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related field; knowledge of verification toolsBachelor's in Electrical Engineering, Computer Engineering, or related field; testing certifications beneficial
Work EnvironmentDesign labs, simulation environments, collaboration with design teamsTesting labs, field testing, collaboration with verification teams
Industry UsageSemiconductors, integrated circuits, hardware design companiesElectronics, hardware manufacturing, embedded systems companies

The Remote Design Verification Engineer focuses on verifying hardware designs through simulation and analysis before manufacturing, ensuring design correctness. In contrast, the Remote Test Engineer primarily tests finished products or prototypes to validate functionality and performance. Both roles require technical expertise and collaboration but differ in their project stages and focus areas.

What are the most commonly searched types of Design Verification Engineer jobs in New Jersey?

The most popular types of Design Verification Engineer jobs in New Jersey are:

What job categories do people searching Remote Design Verification Engineer jobs in New Jersey look for?

The top searched job categories for Remote Design Verification Engineer jobs in New Jersey are:

What cities in New Jersey are hiring for Remote Design Verification Engineer jobs?

Cities in New Jersey with the most Remote Design Verification Engineer job openings:

Infographic showing various Remote Design Verification Engineer job openings in New Jersey as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Software Engineer (US-Remote)

Gnostech

Marlton, NJ โ€ข On-site, Remote

Full-time

Re-posted 8 days ago


Job description

A Software Engineer is needed to design, develop, and maintain modern software applications and services. The engineer will work within a cross-functional team to build scalable cloud-native applications, microservices, and AI-enabled systems supporting both internal and external products. The role involves collaborating with software development, cybersecurity, and test engineering teams to design, implement, document, and deploy high-quality software solutions.
Overview
Location
  • US-Remote or Marlton, NJ area

Job Title
  • Software Engineer

Salary
  • Commensurate with industry position, depending on experience

Shift
  • Typical: Monday through Friday 9am to 5pm

Travel
  • Less than 5%

Position Responsibilities
  • Design, develop, test, and deploy scalable applications, APIs, and microservices using modern software engineering practices.
  • Build and integrate AI-enabled capabilities into applications, including machine learning models, LLM integrations, and data-driven services.
  • Participate in architecture and design reviews to ensure solutions meet scalability, security, and performance requirements.
  • Develop cloud-native services and containerized applications deployed using Docker and Kubernetes.
  • Integrate AI models, data pipelines, and inference services into production systems.
  • Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product stakeholders.
  • Develop and maintain technical documentation including system architecture diagrams, API specifications, and AI model documentation.
  • Maintain code repositories using modern version control and CI/CD pipelines.
  • Apply secure coding practices and support DevSecOps workflows.
  • Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance productivity and code quality.
  • Monitor and troubleshoot applications in distributed environments using logging, observability, and telemetry tools.

Minimum Security Clearance
  • Must be eligible and pass security screening to obtain DoD Top Secret

Required Qualifications and Skills
  • Strong proficiency in software design, development, and debugging.
  • Experience with modern programming languages such as Java, Python, or similar backend technologies.
  • Experience with Spring Boot, REST APIs, and microservices architectures.
  • Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or modern AI integration tools.
  • Experience integrating AI services, LLM APIs, or intelligent automation capabilities into applications.
  • Experience building containerized applications using Docker and Kubernetes.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with relational databases (MySQL, MariaDB, PostgreSQL).
  • Understanding of CI/CD pipelines, automated testing, and DevSecOps practices.
  • Familiarity with the AI/ML lifecycle including data preparation, model training, evaluation, deployment, and monitoring.
  • Ability to analyze problems, design solutions, and work collaboratively in a team environment.

Additional Desired Qualifications, Skills, Certifications
  • Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.).
  • Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.).
  • Experience implementing MLOps pipelines for model deployment and monitoring.
  • Experience with distributed systems, event streaming, or message queues (Kafka, RabbitMQ).
  • Familiarity with observability platforms (Prometheus, Grafana, ELK stack).
  • Experience with NoSQL databases (MongoDB, Cassandra).
  • Active or ability to obtain DoD Top Secret clearance.

Education and Training Required
  • Bachelor's degree (in Engineering, Computer Science, Math, or related field)

Minimum Years of Experience
  • 2+

Gnostech is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, or disability status. For more information, please visit www.eeoc.gov
If this position requires a government clearance, the applicants selected will be subject to a government security investigation and must meet eligibility requirements for accessing classified information.