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Verification Engineer H1B Jobs (NOW HIRING)

Navtech, Inc.

Senior Software Engineer

Jersey City, NJ · On-site

$127K - $168K/yr

... H1B Software packaging, deploying, code management, release management, onboarding developers ... Chris@navtechusa.com Fax: 847-565-8208 URL: www.navtechusa.com E-Verified Company Corporate Center ...

Navtech, Inc.

Performance Engineer

Raleigh, NC · On-site

Remote Duration : 6 months Need 5+ Years of EXP Candidates Visa & Passport Number Mandatory For H1B ... Chris@navtechusa.com Fax: 847-565-8208 URL: www.navtechusa.com E-Verified Company Corporate Center ...

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All JobsVerification Engineer H1B Jobs

Verification Engineer H1B information

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$80K

$142.6K

$203.5K

How much do verification engineer h1b jobs pay per year?

As of Jun 8, 2026, the average yearly pay for verification engineer h1b in the United States is $142,619.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,000.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Verification Engineer H1B vs Test Engineer?

AspectVerification Engineer H1BTest Engineer
Required CredentialsBachelor's in Electrical, Computer Engineering or related; certifications like ISTQB beneficialBachelor's in Computer Science, Electrical Engineering, or related; certifications like ISTQB common
Work EnvironmentDesign verification, simulation, and validation in hardware/software industriesTesting, debugging, and quality assurance in software/hardware projects
Employer & Industry UsageSemiconductor, electronics, and embedded systems companiesSoftware firms, electronics, and manufacturing industries

Verification Engineers H1B focus on verifying hardware and embedded systems through simulation and formal methods, often working in electronics and semiconductor industries. Test Engineers primarily conduct testing and quality assurance for software or hardware products. While both roles involve testing and validation, Verification Engineers H1B typically require specialized verification skills and work in hardware-centric environments, whereas Test Engineers focus on testing processes across various industries.

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

To thrive as a Verification Engineer, you need a solid understanding of digital design, verification methodologies (such as UVM or SystemVerilog), and typically a degree in electrical or computer engineering. Familiarity with verification tools like ModelSim, VCS, or Cadence, as well as scripting languages such as Python or Perl, is commonly required, and certifications in these areas can be beneficial. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for collaborating with design teams and troubleshooting complex issues. These skills and tools ensure that hardware designs are thoroughly tested, reliable, and meet performance and functional requirements.

What is a Verification Engineer H1B?

A Verification Engineer H1B refers to a Verification Engineer working in the United States under the H1B visa program. Verification Engineers are responsible for testing and validating hardware or software designs to ensure they meet specified requirements. The H1B visa allows U.S. employers to temporarily employ foreign workers in specialty occupations like verification engineering, which typically requires at least a bachelor's degree in engineering, computer science, or a related field. Candidates must be sponsored by a U.S. employer, who files the H1B petition on their behalf. The role often involves using simulation tools and scripting languages to verify complex integrated circuits or systems.

What are the typical collaboration dynamics between a Verification Engineer and other engineering teams during a project?

Verification Engineers work closely with design, firmware, and test engineering teams throughout the development lifecycle. They are responsible for creating and executing test plans, identifying issues, and ensuring that the product meets specifications and quality standards. Regular meetings and status updates with cross-functional teams are common, as Verification Engineers provide feedback and coordinate debugging efforts. This collaborative environment enhances problem-solving and helps ensure project milestones are met efficiently.
Infographic showing various Verification Engineer H1B job openings in the United States as of May 2026, with employment types broken down into 17% As Needed, 66% Full Time, and 17% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $142,619 per year, or $68.6 per hour.
: AI & ML Performance Engineer

: AI & ML Performance Engineer

SynergisticIT

Columbia, MO

Other

Posted 11 days ago

Job description

Job Title

Knowledge of deep learning as machine learning modelling is required. Must be familiar with concepts like Regression, Neural Networks, CNN (Convolution Neural Networks), GAN, GNN, Transformer etc.

Hands-on experience with technologies like Spark, Scala, and Python are preferred.

Hands-on experience with PyTorch/TensorFlow, Data Structures and Algorithm.

Experience with deploying models on at least one cloud platform (GCP, Azure, or AWS).

Familiarity with MLOps and the ability to think critically about deployment of Machine Learning models.

Experience in or strong interest to learn relevant technologies and tools, such as MLFlow, Kubeflow, Seldon, Sagemaker, Databricks, etc.

Familiarity with Agile concepts and methodologies.

Quick learner with the ability to grasp new concepts quickly in a changing environment.

Experience in development of AI/Client based solution for use in healthcare segment is preferred.

Strong verbal and written communication skills

Required Candidate Profile

Some experience understanding the AI/Client approaches

Must understand the package management for various environments (Python, R, and Hadoop environments)

Must have experience with administration of Hadoop ecosystem specifically HDFS, Hive, and Spark

Python, OpenCV, Keras/PyTorch/Tensorflow Deep Learning/Machine Learning, Computer Vision (Image Classification, Object Detection)

Education Requirement

Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.

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