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Remote Digital Verification Engineer Jobs in Illinois

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... We are the leading virtual staining company revolutionizing digital pathology adoption worldwide ...

Automationtechies

Automation & Controls Engineer

Chicago, IL · On-site +1

$86K - $113K/yr

Hybrid/Remote Possible near Chicago, IL A reputable Systems Integrator located northwest of Chicago ... Familiarity with FTBatch or GE Digital iBatch * Experience with the entire stack of GE Proficy ...

Brainlab

National Technical Support

Chicago, IL · On-site +1

$38K - $48K/yr

Company Description Brainlab revolutionized digital medical technology with the introduction of ... S. in Electrical Engineering, Biomedical Engineering, Mechanical Engineering, or Information ...

ARIS Technology

Robotics Software Engineer

Hinckley, IL · On-site +1

Robotics Software Engineer Hinckley, IL (~ 50 miles west of Chicago) Remote Position Summary Join ... Digital twin and simulation of robotic systems * Ray tracing or related technologies * Experience ...

Highland

Lead Designer & Strategist

Chicago, IL · On-site +1

$84K - $97K/yr

... and remote Background Highland is a digital product & innovation consultancy based in Chicago. For more than 25 years, our team of researchers, strategists, designers, and engineers has helped ...

Booz Allen Hamilton, Inc.

SOAR Engineer, Senior

IL · On-site +1

$86K - $198K/yr

Remote Work: Hybrid Job Number: R0241625 Location: Scott AFB,IL,US Share job via: Share SOAR ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

RINA

Senior Structural Engineer

Chicago, IL · On-site +1

$103K - $140K/yr

Remote options from other US locations may be considered. Mission The Senior Structural Engineer ... Support site inspections and construction-phase engineering services to verify implementation of ...

RINA

Senior Structural Engineer

Lisle, IL · On-site +1

$99K - $134K/yr

Remote options from other US locations may be considered. Mission The Senior Structural Engineer ... Support site inspections and construction-phase engineering services to verify implementation of ...

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All JobsDigital Verification Engineer JobsRemote Digital Verification Engineer JobsRemote Digital Verification Engineer Jobs in Illinois

Remote Digital Verification Engineer information

What does a remote digital verification engineer do?

A Remote Digital Verification Engineer is responsible for ensuring the functionality and reliability of digital hardware designs, such as integrated circuits, by developing and running tests to identify and fix design flaws. Working remotely, they use simulation tools, write testbenches in languages like SystemVerilog or UVM, and collaborate with design teams to validate that the digital circuits meet the required specifications. Their work helps prevent costly errors in the final product and ensures a smooth manufacturing process. Being remote, they rely on digital communication and project management tools to collaborate effectively with team members worldwide.

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

To thrive as a Remote Digital Verification Engineer, you need expertise in digital design principles, verification methodologies, and a relevant engineering degree, often supported by experience with ASIC or FPGA projects. Familiarity with technical tools like SystemVerilog, UVM, simulation environments, and version control systems is critical, as is proficiency with scripting languages such as Python or Perl. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills, especially when collaborating across distributed teams. These skills and qualities are vital for ensuring accurate, efficient verification of complex digital systems while maintaining productivity in a remote work environment.

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

Remote Digital Verification Engineers often encounter challenges related to communication and collaboration, particularly when working with global teams across different time zones. Ensuring clear documentation and leveraging collaboration tools like version control systems and project management platforms can help mitigate these challenges. Additionally, staying proactive in asking questions and participating in regular virtual meetings can foster smoother workflows. Adapting to remote work also requires strong self-discipline and time management skills to meet tight project deadlines.

What is the difference between Remote Digital Verification Engineer vs Remote Hardware Verification Engineer?

AspectRemote Digital Verification EngineerRemote Hardware Verification Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related; knowledge of verification toolsBachelor's in Electrical Engineering, Computer Engineering, or related; hardware testing certifications
Work EnvironmentDesign teams, software simulation, FPGA/ASIC verificationHardware labs, testing on physical hardware, FPGA/ASIC testing
Employer & Industry UsageSemiconductor, electronics, tech companiesSemiconductor, electronics, hardware manufacturing
Search & Comparison IntentYesYes

The Remote Digital Verification Engineer focuses on verifying digital designs through simulation and software tools, while the Remote Hardware Verification Engineer tests physical hardware components. Both roles require similar educational backgrounds but differ in work environment and specific skill sets. Candidates often compare these roles when exploring opportunities in semiconductor and electronics industries.

What are the most commonly searched types of Digital Verification Engineer jobs in Illinois?

The most popular types of Digital Verification Engineer jobs in Illinois are:

What are popular job titles related to Remote Digital Verification Engineer jobs in Illinois?

For Remote Digital Verification Engineer jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Remote Digital Verification Engineer jobs in Illinois look for?

The top searched job categories for Remote Digital Verification Engineer jobs in Illinois are:

What cities in Illinois are hiring for Remote Digital Verification Engineer jobs?

Cities in Illinois with the most Remote Digital Verification Engineer job openings:

Remote Digital Verification Engineer jobs near you

Senior Machine Learning Engineer

Career Renew

Chicago, IL • Remote

$165K - $225K/yr

Full-time

Re-posted 27 days ago

Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.
We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.
Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.

About the Role

We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows.
Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications
Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements
Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks
Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges
Explore image representation in latent space for efficient, high-fidelity virtual staining
Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap

Collaboration
Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures
Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems
Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines
Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches

Required Qualifications

PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field
Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising
Expert proficiency in Python and PyTorch and other scientific computing environments a plus
Strong mathematical foundation in linear algebra, probability, and optimization
Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure)
Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles
Experience with feature search, data balancing, and data curation pipelines.
Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines
Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment
Extensive use of AI tools for coding, optimization, and ideation

Preferred Qualifications

Experience with medical imaging, digital pathology, or whole slide image (WSI) processing
Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem
Background in generative models and fine-tuning of foundation models
Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton
Experience with hosting computer vision model inference on NVIDIA DGX Spark.
Understanding of FDA regulatory requirements for AI/ML in medical devices
Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices
Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility

What We Offer

The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.