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Assistant Cuda Jobs (NOW HIRING)

Ambarella

... AI etc. * Assist in creating and curating high-quality datasets for model distillation and ... Strong programming skills in Python, C/C++, CUDA. * Excellent communication skills.

Cerence

Sr. Principal Software Engineer

$185K - $280K/yr

QAIRT * Extend and tune inference engines using custom CUDA kernels * Adapt runtimes for ... voice assistant space, working with all of the world's leading automakers - from Ford and Fiat ...

Zoox

Software Engineer - C++ GPU Performance

Seattle, WA

$168K - $239K/yr

Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Zoox

Software Engineer - C++ GPU Performance

Boston, MA

$168K - $239K/yr

Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Zoox

Software Engineer - C++ GPU Performance

Seattle, WA · On-site

$168K - $239K/yr

Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Zoox

Software Engineer - C++ GPU Performance

Boston, MA · On-site

$168K - $239K/yr

Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

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Assistant Cuda information

What are the key skills and qualifications needed to thrive as an Assistant CUDA Developer, and why are they important?

To thrive as an Assistant CUDA Developer, you need strong programming skills in C/C++, a solid understanding of parallel computing concepts, and familiarity with GPU architectures, often backed by a degree in computer science or a related field. Proficiency with CUDA development tools, debugging utilities, and version control systems like Git is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for collaborating with teams and optimizing code. These skills ensure efficient development of high-performance applications and successful integration of GPU acceleration into software solutions.

What are Assistant Cuda roles and responsibilities?

An Assistant Cuda typically supports senior CUDA (Compute Unified Device Architecture) developers or teams working with NVIDIA’s parallel computing platform. Their responsibilities include assisting in developing, testing, and optimizing code written for GPUs to accelerate computing tasks, debugging CUDA applications, and maintaining documentation. They may also handle routine tasks such as performance benchmarking, code reviews, and collaborating with other team members to implement efficient GPU solutions. This role is crucial in organizations that rely on high-performance computing, scientific simulations, or AI workloads.

What is the difference between Assistant Cuda vs Assistant Data Analyst?

AspectAssistant CudaAssistant Data Analyst
Required CredentialsTypically a relevant degree in computer science or related fieldOften a degree in data science, statistics, or related field
Work EnvironmentTech companies, software development teams, AI projectsBusiness, finance, marketing, or research departments
Employer & Industry UsageUsed in tech and AI industries for supporting CUDA programming tasksCommon in data-driven industries for data processing and analysis

Assistant Cuda and Assistant Data Analyst roles share some technical background but differ mainly in focus. Assistant Cuda primarily supports GPU programming and AI development, while Assistant Data Analyst focuses on data interpretation and reporting. Both roles require relevant technical skills and are found in industries leveraging data and technology, but their daily tasks and industry applications vary significantly.

What are some common challenges faced by Assistant CUDA developers when optimizing code for GPU performance?

Assistant CUDA developers often encounter challenges such as managing memory efficiently between the host and device, ensuring proper kernel parallelization, and avoiding thread divergence. Balancing occupancy and resource usage can also be tricky, as it requires a deep understanding of how CUDA schedules and executes threads. Collaborating closely with data scientists and other engineers is essential to identify performance bottlenecks and implement effective optimizations.
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Assistant Cuda jobs near you
Infographic showing various Assistant Cuda job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Software Manager, Imaging and AI

DeepSight Technology

Santa Clara, CA • On-site

$180K - $240K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 14 days ago

Job description

We are looking for an engineering leader with a strong background in medical imaging, AI, and programming languages such as C++ and CUDA to shape our new ultrasound imaging platform. As the Software Manager for the Imaging and AI team, you will lead a team developing and optimizing algorithms and techniques related to ultrasound signal processing, image formation, and analysis. The primary focus of this role is to improve the quality, accuracy, and interpretation of ultrasound images for DeepSight's revolutionary Ultrasound system.

As a Software Manager for Imaging and AI, your responsibilities are:

  • Team Management and Mentorship: Manage a team of individual contributors and cultivate a high-performing team
  • Strategic Planning: Work closely with product and project management teams to define software deliverables, set timelines, and prioritize tasks in alignment with the company's goals for the ultrasound imaging platform.
  • Technical Implementation: Maintain hands-on involvement by reviewing and contributing to the implementation of critical algorithms using C++ and CUDA, serving as a technical resource and problem solver for the team.
  • Guide Advanced Algorithm Development: Oversee the research and development of advanced algorithms and image processing techniques to enhance spatial resolution and image quality in ultrasound imaging, providing technical mentorship to team members.
  • Foster AI and Machine Learning Integration: Champion the exploration and implementation of machine learning and AI techniques to enhance image analysis, automate diagnostic workflows, and assist clinicians with interpretation tasks.
  • Facilitate Systems Integration: Collaborate with systems and hardware engineers to ensure seamless integration of software and hardware components for optimized data acquisition, processing, and display.
  • Ensure Compliance and Quality Standards: Ensure the team adheres to relevant regulatory and quality standards (e.g., ISO 13485, IEC 62304), integrating robust verification and validation practices into the development lifecycle.

Required Qualifications:

  • BS in an engineering or computer science field
  • Familiarity in signal and image processing and algorithm development in medical imaging
  • Strong background in object-oriented programming, software architecture, and design patterns
  • Proficiency with C++ programming
  • Experience in concurrent/parallel programming-multithreading, multiprocessing, GPU acceleration (CUDA, CuPy, Numba, OpenCL)
  • Deep familiarity with common developer tool sets, including source control, continuous integration, and automated unit testing
  • Proven ability to lead and manage technical teams in designing, implementing, and optimizing algorithms for imaging applications.
  • Adept at collaborating with cross-functional teams, including hardware, systems, and clinical stakeholders.
  • Passionate about medical devices, with excellent communication and teamwork skills

Preferred Qualifications:

  • PhD in Electrical/Biomedical engineering with a dissertation topic related to medical imaging
  • Knowledge of ultrasound physics, beamforming, simulation and algorithm development
  • 8 or more years of experience in commercial software development
  • Experience in medical imaging product development (FDA regulated)
  • Experience with real-time software applications
  • Experience interfacing with hardware components and systems
  • Familiarity with healthcare standards, including DICOM, HL7, and integration with PACS systems
  • Knowledge of AI/ML techniques applied to medical imaging, including model training, validation, and deployment in clinical workflows

Other Qualities We Are Looking For

  • Positive - a can-do attitude that helps you rise to challenges
  • Collaborative - a team player who can effectively communicate with others
  • Attentive to detail - nothing gets by you
  • Efficient - a knack for effectively prioritizing tasks and managing your time
  • Pride in your work - real desire to do quality work
  • Career-minded - looking for more than a job
  • Empathy - a mindset of producing quality products that help people

Benefits and Perks

  • We offer great benefits and perks:
  • Competitive salary
  • Stock options
  • Medical, dental, and vision insurance
  • 401(k) retirement plan

Job Posted by ApplicantPro