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Remote Seed Analyst Jobs (NOW HIRING)

Analyze and eliminate performance bottlenecks including warp divergence, uncoalesced memory access ... Oversubscribed seed round, next funding in 2026. * Career growth & influence: Lead AI initiatives ...

Finance Manager Department: FP&A Services Employment Type: Full Time Location: Remote - US ... Seed to Series C stage) to analyze their business, build detailed financial operating models ...

Senior Platform Engineer

Cambridge, MA · Remote

$120K - $200K/yr

Fully remote (HQ Cambridge, MA) Hours: 9-5 EST, with 2-day on-site visits every 6 weeks You'll be ... at a seed-stage startup. The role blends infrastructure ownership with platform engineering to ...

Senior Software Engineer (Cloud)

Brooklyn, NY · On-site +1

$100K - $150K/yr

Shaped is a seed stage start-up backed by top investors (e.g. Y-Combinator, Susa Ventures, Tribe ... We're remote but have an office in Brooklyn, New York. We are looking for a software engineer with ...

Senior Software Engineer (Cloud)

Brooklyn, NY · On-site +1

$100K - $150K/yr

Shaped is a seed stage start-up backed by top investors (e.g. Y-Combinator, Susa Ventures, Tribe ... We're remote but have an office in Brooklyn, New York. We are looking for a software engineer with ...

Remote Role overview: The Finance Manager role focuses on providing a variety of financial planning ... Seed to Series C stage) to analyze their business, build detailed financial operating models ...

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Remote Seed Analyst information

See salary details

$29.5K

$71.5K

$123K

How much do remote seed analyst jobs pay per year?

As of Jun 1, 2026, the average yearly pay for remote seed analyst in the United States is $71,511.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $79,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Seed Analyst, and why are they important?

To thrive as a Remote Seed Analyst, you need a background in agronomy, botany, or a related field, with strong analytical skills and attention to detail. Familiarity with laboratory equipment, seed testing protocols, data analysis software, and sometimes ISTA or AOSA certification is typically required. Excellent organizational skills, clear written communication, and the ability to work independently are valuable soft skills in this role. These qualifications ensure accurate seed quality assessments and reliable data, which are critical for agricultural productivity and compliance with regulatory standards.

What are some common challenges faced by Remote Seed Analysts, and how can they effectively address them?

Remote Seed Analysts often encounter challenges such as limited access to physical samples, varying quality of digital data, and coordinating with off-site teams. To overcome these, analysts should use high-quality imaging equipment, maintain clear communication channels with colleagues and clients, and stay updated on the latest remote analysis software. Building strong organizational habits and leveraging collaborative platforms can help ensure accurate assessments and timely reporting, despite the distance from the laboratory or testing facility.

What is a Remote Seed Analyst?

A Remote Seed Analyst is a professional who evaluates and tests seeds for quality, purity, and viability—often working from a location outside of a traditional laboratory or office, such as from home or a remote facility. Their responsibilities include analyzing seed samples, recording data, and ensuring that seeds meet regulatory and industry standards. Remote Seed Analysts may use specialized equipment and digital tools to perform their tasks and communicate findings with agricultural companies, research organizations, or seed producers. This role is essential for ensuring the quality of seeds used in agriculture, which impacts crop yields and food production.

What is the difference between Remote Seed Analyst vs Remote Plant Breeder?

AspectRemote Seed AnalystRemote Plant Breeder
CredentialsBachelor's in Agriculture, Botany, or related field; certifications in seed technologyBachelor's or Master's in Plant Science, Genetics, or related field; breeding certifications
Work EnvironmentOffice or remote, analyzing seed samples, data entry, quality assessmentRemote or field-based, developing new plant varieties, conducting experiments
Industry UsageSeed companies, agricultural research institutionsPlant breeding firms, agricultural biotech companies

Remote Seed Analysts focus on evaluating seed quality and testing, often working with seed samples and data analysis. In contrast, Remote Plant Breeders develop new plant varieties through research and breeding programs. Both roles require agricultural knowledge but differ in their primary tasks and work environments.

More about Remote Seed Analyst jobs
What cities are hiring for Remote Seed Analyst jobs? Cities with the most Remote Seed Analyst job openings:
What are the most commonly searched types of Seed Analyst jobs? The most popular types of Seed Analyst jobs are:
What states have the most Remote Seed Analyst jobs? States with the most job openings for Remote Seed Analyst jobs include:
Infographic showing various Remote Seed Analyst job openings in the United States as of May 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 50% Physical, and 50% Hybrid job distribution, with an average salary of $71,511 per year, or $34.4 per hour.

CUDA Kernel Engineer (Remote US)

Pragmatike

Boston, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 26 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.