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Remote Mit Media Lab Jobs in California (NOW HIRING)

Pragmatike

CUDA Kernel Engineer (Remote US)

San Francisco, CA · On-site +1

$164K/yr

MIT CSAIL founders recognized for breakthrough AI and systems contributions. * Customer impact: Deploy AI solutions powering Fortune 500 clients . * Industry momentum: Lab alumni have led high-value ...

Cresta

Senior Communications Manager

San Francisco, CA · On-site +1

$150K - $190K/yr

Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world's leading ... You'll drive earned media day to day: creating and nurturing reporter relationships, deepening our ...

Gnostech LLC

Software Engineer III

San Diego, CA

$61 - $82/hr

* About Us * What We Do * Our Experience * CONTACT My Account Careers >> Software Engineer III Software Engineer III Summary Title: Software Engineer III ID: 1158 Location: San Diego, CA Description ...

Gnostech LLC

Software Engineer II

San Diego, CA · On-site +1

$90K - $105K/yr

Hybrid or remote work is not authorized. Job Title: Software Engineer II Salary: $90,000-$105,000 ... media. * Perform software testing and validation; create and maintain system manuals, test plans ...

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Remote Mit Media Lab information

What is a remote MIT Media Lab job?

Remote MIT Media Lab jobs are positions offered by the MIT Media Lab that allow employees or researchers to work from locations outside of the MIT campus. These roles can include research, administration, technical support, or collaboration on various innovative projects. Working remotely means using digital communication tools to engage with colleagues, attend meetings, and contribute to the Lab’s projects and initiatives. This flexibility can accommodate a range of professional backgrounds and geographic locations while still being part of the Media Lab's cutting-edge work.

What are the key skills and qualifications needed to thrive as a remote researcher at the MIT Media Lab?

To thrive as a Remote Researcher at the MIT Media Lab, you need a strong background in interdisciplinary research, analytical thinking, and relevant academic credentials (such as a degree in engineering, computer science, design, or related fields). Familiarity with technical tools like programming languages (e.g., Python, JavaScript), collaboration platforms (e.g., Slack, Zoom), and research software is often required. Exceptional communication, self-motivation, and adaptability are crucial soft skills for remote collaboration and innovation. These abilities ensure productive contributions to cutting-edge projects and effective teamwork in a highly creative, distributed environment.

What are the typical collaboration methods and communication expectations for a remote position at the MIT Media Lab?

In a remote role at the MIT Media Lab, effective collaboration relies heavily on digital tools such as Slack, Zoom, and collaborative document platforms. Team members are expected to actively participate in virtual meetings, provide regular project updates, and be responsive during core working hours, even across different time zones. The Lab fosters a multidisciplinary environment, so remote employees frequently interact with researchers, engineers, and designers from diverse backgrounds. Proactive communication and openness to feedback are essential for success in this innovative and fast-paced setting.

What are the most commonly searched types of Mit Media Lab jobs in California?

The most popular types of Mit Media Lab jobs in California are:

What are popular job titles related to Remote Mit Media Lab jobs in California?

For Remote Mit Media Lab jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Mit Media Lab jobs in California look for?

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Remote Mit Media Lab jobs near you
Infographic showing various Remote Mit Media Lab job openings in California as of August 2026, with employment types broken down into 2% As Needed, 73% Full Time, 14% Part Time, 10% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

CUDA Kernel Engineer (Remote US)

Pragmatike

San Francisco, CA • On-site, Remote

$164K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 28 days ago

Job description

Location: SF on-site
Start date: ASAP
Languages: English (required)
About the Role
Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers.
We are searching for a CUDA Kernel Engineer who has hands-on experience developing and optimizing NVIDIA CUDA kernels from scratch. You will work on the GPU performance layer powering large-scale, high-throughput AI systems used by Fortune 500 customers.
This role is ideal for someone who deeply understands NVIDIA GPU architecture, memory hierarchy, warp-level execution, and profiling workflowsnot someone coming from generic hardware, FPGA, or non-NVIDIA compute backgrounds. You will directly influence the GPU efficiency, throughput, and scalability of mission-critical AI systems.
What Youll Do
  • Design, implement, and optimize custom CUDA kernels for NVIDIA GPUs, with a focus on maximizing occupancy, memory throughput, and warp efficiency.
  • Profile GPU workloads using tools such as Nsight Compute, Nsight Systems, nvprof, and CUDA-MEMCHECK.
  • Analyze and eliminate performance bottlenecks including warp divergence, uncoalesced memory access, register pressure, and PCIe transfer overhead.
  • Improve GPU memory pipelines (global, shared, L2, texture memory) and ensure proper memory coalescing.
  • Collaborate closely with AI systems, model acceleration, and backend distributed systems teams.
  • Contribute to GPU architecture decisions, kernel libraries, and internal performance-engineering best practices.

What Were Looking For
  • Proven track record building NVIDIA CUDA kernels from scratchnot just calling existing libraries.
  • Strong ability to optimize kernels (tiling strategies, occupancy tuning, shared memory design, warp scheduling).
  • Deep understanding of CUDA threads, warps, blocks, and grids, GPU memory hierarchy and memory coalescing, as well as warp divergence (how to detect, analyze, and mitigate it)
  • Experience diagnosing PCIe bottlenecks and optimizing host-device transfers (pinned memory, streams, batching, overlap).
  • Familiarity with C++, CUDA runtime APIs, and GPU debugging/profiling tooling.

Bonus Points
  • Experience with multi-GPU or distributed GPU systems (NCCL, NVLink, MIG).
  • Background in GPU acceleration for ML frameworks or HPC workloads.
  • Knowledge of model inference optimization (TensorRT, CUDA Graphs, CUTLASS).
  • Exposure to compiler-level optimization or PTX/SASS analysis.
  • Startup experience or comfort working in fast-moving, ambiguous environments.

Why This Role Will Pivot Your Career
  • Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions.
  • Customer impact: Deploy AI solutions powering Fortune 500 clients.
  • Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave).
  • Funding & growth: Oversubscribed seed round, next funding in 2026.
  • Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale.
  • Culture & autonomy: Own critical systems while collaborating with world-class engineers.
  • Aspirational impact: Solve GPU/AI performance challenges few engineers ever face.

Benefits
  • Competitive salary & equity options
  • Sign-on bonus
  • Health, Dental, and Vision
  • 401k

Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

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