Member of Technical Staff - Low Level & Kernels Capabilities
Preference Model —Toronto, ON
- $200,000–$350,000 a year
- Full-time
- C++
- Machine learning
- Python
- Dental care
- Vision care
Simulation Engineer
Cerebras Systems —Toronto, ON
- Full-time
- Computer Science
- Engineering
- Master's degree
8d
Staff/Lead Platform/DevOps Engineer
Mimica —Toronto, ON
- Full-time
- Remote
- DevOps
- AWS
- Communication skills
- Paid time off
- Flexible schedule
Senior Kubernetes Platform Engineer
Capgemini Sogeti —Toronto, ON
- Remote
- Computer Science
- DevOps
- AWS
- Disability insurance
- Dental care
Control Systems Software Design and Certification Engineer (DO-178C) – Gas Turbine Engines
Pratt & Whitney —Mississauga, ON
- $78,000–$122,850 a year
- Full-time
- Analysis skills
- C++
- Bachelor's
- Wellness program
- Dental care
Senior Kubernetes Platform Engineer
Capgemini —Toronto, ON
- Remote
- Computer Science
- DevOps
- AWS
- Disability insurance
- Dental care
Senior ASIC Verification Engineer, Coherent High Speed Interconnect
NVIDIA —Toronto, ON
- $125,000–$175,000 a year
- Full-time
- Hybrid work
- Master's degree
- Analysis skills
- C++
Senior Software Developer - Numerical
Seequent —Toronto, ON
- Hybrid work
- Computer Science
- C++
- Bachelor's
SoC Interconnect Technology Team Lead
Arm —Toronto, ON
- $285,900–$336,400 a year
- Hybrid work
- Communication skills
9d
Senior Memory Controller Verification Engineer
NVIDIA —Toronto, ON
- $125,000–$175,000 a year
- Full-time
- Hybrid work
- Master's degree
- C++
- Bachelor's
Senior Technical Architect
HCLTech —Toronto, ON
- Engineering
- Master's degree
- Analysis skills
9d
Sr. Software Development Manager - Compiler, AWS Neuron, Annapurna Labs
Amazon Development Centre Canada ULC —Toronto, ON
- $214,200–$357,800 a year
- Full-time
- Bar
- Doctoral degree
- Computer Science
- Profit sharing
- Dental care

More jobs to discover

Find similar jobs that you might be interested in.

Electrical Designer/Engineer
SHOTOVER Systems —Hamilton, ON
We are looking for an engineer who combines deep knowledge of digital and analog design with a systems-thinking mindset—someone who understands not just how to…
$80,000–$120,000 a year
Quick apply
Sr. Electromagnetic Compatibility (EMC) Engineer
GAL AeroStaff —Toronto, ON
Review and verify associated documentation (test procedures, test reports, analysis reports) for certification approval. Job Type:* Full-time, Permanent.
$100,000–$120,000 a year
Quick apply

Show more similar jobs

Explore jobs in cities nearby

Check out jobs in cities near your current location, Columbus

GPU Design Verification Engineer
Qualcomm —Markham, ON
Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering…
$132,600–$182,600 a year
Design Verification Engineer
Buxton —Markham, ON
10+ years of proven verification experience on large ASIC development projects or software/firmware experience in a hardware development setting.
$60–$80 an hour
Quick apply

Show more jobs in cities nearby

I want to receive the latest job alerts for gpu design verification in mississauga, on

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

gpu design verification jobs near mississauga, on

Verification Engineer jobs in Toronto, ON

Platform Engineer jobs in Toronto, ON

Senior Technical Architect jobs in Toronto, ON

Software Engineering Manager jobs in Toronto, ON

Senior Software Engineer jobs in Toronto, ON

Technology Lead jobs in Toronto, ON

Project Engineer jobs in Vancouver, BC

Verification Engineer jobs in Saskatoon, SK

Verification Engineer jobs in Vancouver, BC

Sound Engineer jobs in Calgary, AB

Verification Engineer jobs in Ontario

Engineer jobs in Fredericton, NB

Senior Electrical Engineer jobs in Calgary, AB

Verification Engineer jobs in Montréal, QC

Telecommunications Engineer jobs in Toronto, ON

Entry Level Software Engineer jobs in Hamilton, ON

Electrical Engineer jobs in Halifax, NS

Civil Engineer jobs in Calgary, AB

Verification Engineer jobs in Calgary, AB

Platform Engineer jobs in Mississauga, ON

Member of Technical Staff - Low Level & Kernels Capabilities

Preference Model
Toronto, ON

Apply Now

Job details

Full-time
$200,000–$350,000 a year

Qualifications

FPGA
OS Kernels
C++
C
Machine learning
Assembly
Python

Full job description

About Us

Preference Model is building automated ML research engineering.

Existing frontier models are brittle when applied to real-world ML tasks. The present bottleneck is the lack of high-quality RL training environments. Our first step is to build RL environments that reflect real-world complexity, with diverse tasks and robust reward functions.

Our founding team has previous experience on Anthropic’s data team building data infrastructure, and datasets behind Claude. We are partnering with leading AI labs to push AI closer to achieving its transformative potential.

About the Role

We’re hiring experienced Machine Learning Engineers for our Low Level / Kernels Capabilities team. The Kernels team builds reinforcement learning (RL) environments at the lowest layers of the stack. Think GPU and accelerator kernels, vector ISAs, codec and crypto primitives, FPGA work, and more. These are the domains where frontier models are weakest, niche paradigms, hardware underrepresented in training data, and open benchmarks that show models lagging.

This role blends research and engineering. It will require you to both develop novel approaches and realize them in code. You will own environments end-to-end: choose the domain, design the tasks, build the scoring and infrastructure, and harden it against reward hacking. Because the tasks run so low in the stack, robust scoring and sandboxing are a real part of the job, making sure a model can't game the timer instead of writing the kernel.

What You Will Do:

Design and build low level / kernel-focused reinforcement learning (RL) environments that target a specified model and difficulty distribution.
Choose which environments are worth building. A strong kernel environment hits several marks:
- Targets a niche or genuinely hard domain;
- Exercises real hardware features (tiling, streaming, async copy, vector ISAs);
- Interesting hardware or simulators (FPGAs, novel accelerators, gem5);
- Research-motivated, grounded in benchmarks where models lag;
- Has a recognized reference to measure against (cuBLAS/FFTW/OpenSSL/etc.);
- Scales into many diverse tasks from a single design.
Build correctness and performance scoring that's deterministic and can't be gamed: the objective is clear, and the only way to hit it is to actually write the kernel.

What We are Looking For (Qualifications):

Strong low-level/systems engineering: fluent in C / C++ / CUDA (or an equivalent kernel language), comfortable dropping to assembly when it matters.
Strong, engineering-quality Python across your prior work, writing production code, automation and deployment scripts, data analysis and plotting (not notebook-only).
Hardware-aware coding: you write with the silicon in mind, considering memory hierarchy, occupancy, data movement, parallelism, latency vs throughput etc.
Kernel development experience: you write kernels and optimize them iteratively against a profiler.
An adversarial mindset: you turn fuzzy goals into robust, ungameable scoring, and you ask "how would a model cheat this?"
Hands-on work with LLMs
Ownership and autonomy: you build, debug, and ship end-to-end with minimal supervision.

You may be a good fit if you also:

Have shipped a kernel that approached SOTA and can explain the remaining gap.
Have depth in a niche hardware target or ISA: FPGA/HLS, RISC-V Vector, DSPs, SIMD/AVX, TPUs.
Have depth in an adjacent discipline; HPC/heterogeneous clusters, hardware design (RTL/HDL, HLS), compilers and kernel toolchains (MLIR/LLVM, Mojo, Triton, gem5), or formal verification (Lean, Coq, SMT).
Read performance and architecture papers and turn them into running code.
Have open-source contributions others rely on.
Have a strong competitive-programming background (ideally in a low-level language).
Have built RL environments, agent harnesses, or evaluation infrastructure.

What We Offer:

Competitive cash and equity compensation (>90th percentile)
Ownership and autonomy in a fast moving startup environment
Opportunity to work with top machine learning engineers
Health, vision, dental, benefits
401K match
Lunch provided everyday onsite
Weekly snack orders
Visa sponsorship & relocation support available

We value diverse perspectives and experiences. If you're excited about this role but don't check every box, we still encourage you to apply.

Compensation Range: $200K - $350K

Apply Now

Refine Your Search

gpu design verification jobs in mississauga, on

Member of Technical Staff - Low Level & Kernels Capabilities

Simulation Engineer

Staff/Lead Platform/DevOps Engineer

Senior Kubernetes Platform Engineer

Control Systems Software Design and Certification Engineer (DO-178C) – Gas Turbine Engines

Senior Kubernetes Platform Engineer

Senior ASIC Verification Engineer, Coherent High Speed Interconnect

Senior Software Developer - Numerical

SoC Interconnect Technology Team Lead

Senior Memory Controller Verification Engineer

Senior Technical Architect

Sr. Software Development Manager - Compiler, AWS Neuron, Annapurna Labs