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Remote Electrical Engineer Nvidia Jobs in Ontario

WSP

Electrical Designer

Thornhill, ON · On-site +1

CA$77K - CA$102K/yr

With an unmatched breadth and depth of engineering, advisory and sciencebased expertise, our global ... such as remote or isolated areas, working alone, and in inclement weather (within safe and ...

WSP

Electrical Designer

Thornhill, ON · On-site +1

CA$77K - CA$102K/yr

With an unmatched breadth and depth of engineering, advisory and sciencebased expertise, our global ... such as remote or isolated areas, working alone, and in inclement weather (within safe and ...

Electric Power Engineers

Staff Engineer III

Toronto, ON · On-site +1

Experience with different aspects of detailed electrical design related to generation, transmission ... This position will be remote US Travel : Occasional travel may be needed (10% or less) EPE is an ...

Electric Power Engineers

Staff Engineer III

Toronto, ON · On-site +1

Experience with different aspects of detailed electrical design related to generation, transmission ... This position will be remote US Travel : Occasional travel may be needed (10% or less) EPE is an ...

Wood Plc

Distribution Engineer

Oakville, ON · On-site +1

Engineering of distribution electrical projects through the entire project lifecycle: from ... Knowledge of smart infrastructure equipment such as automatic feeder switches, remote sensing ...

Wood Plc

Distribution Engineer

Oakville, ON · On-site +1

Engineering of distribution electrical projects through the entire project lifecycle: from ... Knowledge of smart infrastructure equipment such as automatic feeder switches, remote sensing ...

eStruxture

Operations Field Engineer

Toronto, ON · Remote

About the role Reporting to SVP, Operations, Construction & Engineering, the Operations Field ... Expert knowledge of Building Management Systems and electrical monitoring telemetry for remote ...

Boson AI

Site Reliability Engineer

Toronto, ON · On-site +1

CA$125K - CA$250K/yr

Based in Toronto or remote, you will work across the systems that enable large-scale AI training ... Experience with NVIDIA GPUs, CUDA, NCCL, and high-performance interconnects - Experience with ...

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Remote Electrical Engineer Nvidia information

What does a remote electrical engineer at Nvidia do?

A Remote Electrical Engineer at Nvidia is responsible for designing, developing, and testing electrical components and systems used in Nvidia's products, such as GPUs, data center hardware, and AI platforms. Working remotely, they collaborate with cross-functional teams to optimize circuit designs, ensure product reliability, and solve complex engineering challenges. These engineers also use simulation tools, review schematics, and contribute to the full product development lifecycle, all while communicating effectively with colleagues across different locations.

What are the key skills and qualifications needed to thrive as a remote electrical engineer at Nvidia?

To thrive as a Remote Electrical Engineer at Nvidia, you need a strong background in electrical engineering principles, circuit design, and experience with hardware development, typically supported by a relevant engineering degree. Proficiency with CAD tools (such as Altium Designer or Cadence), simulation software, and familiarity with industry standards is usually required, along with certifications like Professional Engineer (PE) being advantageous. Excellent problem-solving, self-motivation, and effective virtual communication are crucial soft skills for collaborating with distributed teams and managing complex projects remotely. These competencies ensure high-quality, innovative hardware solutions and seamless teamwork in Nvidia’s fast-paced, technology-driven environment.

What are some common challenges faced by remote electrical engineers at Nvidia, and how can they be effectively addressed?

Remote Electrical Engineers at Nvidia often encounter challenges such as maintaining clear communication with cross-functional teams, staying aligned with hardware development timelines, and accessing specialized lab equipment. To address these, Nvidia provides robust collaboration tools, schedules regular virtual team meetings, and may offer remote access to lab resources or coordinate periodic on-site visits. Proactive communication and strong organizational skills are key to thriving in this remote environment, ensuring projects stay on track and technical issues are resolved efficiently.

What is the difference between Remote Electrical Engineer Nvidia vs Remote Electronics Engineer Nvidia?

AspectRemote Electrical Engineer NvidiaRemote Electronics Engineer Nvidia
Required CredentialsBachelor's in Electrical Engineering, relevant certificationsBachelor's in Electronics Engineering, similar certifications
Work EnvironmentDesign, testing, and development of electrical systemsDesign and testing of electronic components and circuits
Employer & Industry UsageUsed in hardware development, system integrationUsed in circuit design, embedded systems
Common Search & ComparisonOften compared for electrical hardware rolesOften compared for electronic circuit roles

Remote Electrical Engineer Nvidia and Remote Electronics Engineer Nvidia share overlapping skills and work environments, but focus on different aspects of hardware development. Electrical engineers typically work on power systems and larger hardware, while electronics engineers focus on circuit design and embedded systems. Both roles are vital in Nvidia's hardware innovation and are often searched together by professionals in hardware development.

What are popular job titles related to Remote Electrical Engineer Nvidia jobs in Ontario?

For Remote Electrical Engineer Nvidia jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Remote Electrical Engineer Nvidia jobs in Ontario look for?

The top searched job categories for Remote Electrical Engineer Nvidia jobs in Ontario are:

What cities in Ontario are hiring for Remote Electrical Engineer Nvidia jobs?

Cities in Ontario with the most Remote Electrical Engineer Nvidia job openings:

Remote Electrical Engineer Nvidia jobs near you

Senior Machine Learning Engineer

Career Renew

Toronto, ON • Remote

Full-time

Re-posted 9 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.