CUDA Kernel Engineer
Chicago, IL · Remote
Remote US Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on ... MIT CSAIL founders recognized for breakthrough AI and systems contributions. * Customer impact:
Quick apply
CUDA Kernel Engineer
Chicago, IL · Remote
Remote US Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on ... MIT CSAIL founders recognized for breakthrough AI and systems contributions. * Customer impact:
Remote Mit Media Lab information
See Carol Stream, IL salary details
$9.95 - $13.29
1% of jobs
$13.29 - $16.64
4% of jobs
$19.62 is the 25th percentile. Wages below this are outliers.
$16.64 - $19.98
22% of jobs
The median wage is $23.25 / hr.
$19.98 - $23.33
23% of jobs
$23.33 - $26.67
23% of jobs
$27.14 is the 75th percentile. Wages above this are outliers.
$26.67 - $30.02
9% of jobs
$30.02 - $33.36
8% of jobs
$33.36 - $36.71
4% of jobs
$36.71 - $40.05
2% of jobs
$40.05 - $43.40
1% of jobs
$43.40 - $46.74
1% of jobs
$9
$26
$46
How much do remote mit media lab jobs pay per hour?
As of May 28, 2026, the average hourly pay for remote mit media lab in Carol Stream, IL is $26.11, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $28.85 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Remote Researcher at the MIT Media Lab, and why are they important?
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 Remote MIT Media Lab jobs?
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 jobs pay $3,000 a day?
High-paying jobs that can reach $3,000 a day often include specialized roles such as senior consultants, executive-level managers, or highly experienced freelancers in fields like software development, finance, or consulting. These positions typically require advanced skills, extensive experience, and sometimes certifications, and may involve freelance or contract work with flexible schedules.
What cities near Carol Stream, IL are hiring for Remote Mit Media Lab jobs? Cities near Carol Stream, IL with the most Remote Mit Media Lab job openings:
Full-time
Medical, Dental, Vision, Retirement
Posted 24 days ago
Job description
Location: Remote US
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.