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Candidates need early-stage operator experience building and selling AI infrastructure or compute platforms, ideally with ML inference across cloud and owned hardware. They must be able to attract and lead strong teams and be based in Canada or the US.
Business model, ML, Fundraising
Apera AI Inc
Candidates need proficiency in Python and PyTorch, plus understanding of computer vision fundamentals such as detection, segmentation and 3D geometry. Familiarity with model training, tuning and evaluation workflows, and interest in robotics or production-grade ML software, are also expected.
PyTorch, Blender, Docker, Linux, AWS S3, AWS EC2
Lemurian Labs
3+ YOELemurian Labs needs 3+ years of systems-level software experience, strong C++ skills for performance-critical code, and working knowledge of assembly and low-level debugging. Candidates should know debugger and object file formats such as DWARF, JTAG, ELF and COFF, and must be able to work on-site in Toronto or Santa Clara.
C++, DWARF, JTAG, ELF, COFF, CUDA
Lemurian Labs
4+ YOECandidates need a BS in Computer Science or equivalent experience, 4+ years working on compilers or runtime systems, and 4+ years of C/C++ (C++14 or newer). Deep knowledge of concurrent programming, hardware architecture and OS or hypervisor development is also required.
C++, CUDA, ROCm, PyTorch, JAX, Triton
Connor, Clark & Lunn Financial Group Ltd.
8+ YOECandidates need 8+ years designing and operating enterprise compute, storage and infrastructure platforms, with hands-on Kubernetes, virtualization and datacenter experience. Strong communication skills and the ability to lead through expertise rather than authority are also required.
Kubernetes
North Vector Dynamics Inc.
Candidates need production experience with embedded Linux, kernel and driver development, and build systems like Yocto or Buildroot. Strong C++ and Python skills, knowledge of buses like SPI, I2C, CAN and Ethernet, and eligibility for a Government of Canada security clearance are also required.
Yocto, Buildroot, U-Boot, JTAG, oscilloscope, logic analyzer
Samsung Research America
10+ YOECandidates need a PhD in Computer Science, AI or equivalent, 10+ years of post-PhD advanced AI research leadership, and deep expertise in vision, multimodal and agentic AI. They must have a strong record of top-tier publications and hands-on skill with Python, C/C++ and PyTorch or TensorFlow.
PyTorch, TensorFlow, JAX, Python, C++, Java
Waabi
Candidates need deep knowledge of computer architecture, data-parallel and heterogeneous computing, and performance profiling. They also need experience shipping production C++ or Rust code.
C++, Rust, CUDA, Vulkan, OpenCL, Halide
Waabi
4+ YOECandidates need a Bachelor's, MS or PhD in computer science, robotics or a similar field, plus at least 4 years of industry experience. Strong coding in Python, C++ or Rust, deep learning experience with PyTorch or JAX, and skill profiling CPU and GPU code are required.
PyTorch, JAX, CUDA, NVIDIA Nsight, PyTorch Profiler, Bazel
Waabi
5+ YOEWaabi needs candidates with 5+ years of software or infrastructure engineering, excellent Python and experience building APIs and CLIs. Candidates also need practical AWS and infrastructure-as-code skills, plus PyTorch distributed training and experiment-tracking experience.
Kubernetes, PyTorch, AWS, Terraform, Pulumi, Argo Workflows
Waabi
6+ YOEWaabi needs candidates with a Bachelor's, Master's or PhD in Computer Science, Robotics or a similar field and at least 6 years of industry experience. They should code well in Python, C++ or Rust, know deep learning frameworks like PyTorch, and be skilled at profiling CPU and GPU code.
TensorRT, modelopt, CUDA, PyTorch, PyTorch Profiler, NVIDIA Nsight
Waabi
Candidates need a strong grounding in classical and learning-based signal processing and experience with real-time, high-throughput systems under tight compute limits. They must be able to prototype quickly in Python, Julia or MATLAB and also write production-quality software.
Python, Julia, MATLAB, BLAS, LiDAR, radar
Socure: The leading provider of digital identity verification and fraud solutions.
2+ YOECandidates need a CS or related degree, or equivalent practical experience, plus 2+ years of professional software engineering. Strong knowledge of LLMs, agentic AI, GPU model serving, distributed systems and a modern backend language is required.
CUDA, vLLM, Ollama, LLMLite, TensorRT-LLM, Triton Inference Server
Astera Labs: Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions.
8+ YOECandidates need a bachelor's degree in an engineering or computer field and 8+ years of experience in high-speed connectivity or networking silicon. They must have hands-on lab debug skills and a record of working directly with hyperscaler or OEM customers.
BERT, Protocol analyzer, Python, Shell
Kraken
5+ YOECandidates need 5+ years of infrastructure engineering experience, including GPU or ML infrastructure in production. They also need Kubernetes and Linux skills, Python, experience with serving frameworks such as vLLM or Triton, and a track record of controlling compute costs.
Kubernetes, Linux, Python, vLLM, Triton Inference Server, TensorRT
Lambda
3+ YOECandidates need solid experience with critical data center infrastructure such as power distribution, cabling and DCIM software, plus knowledge of fiber testing, server boot processes and power theory. Three or more years in data center infrastructure and Linux administration are preferred.
DCIM software, JIRA, Zendesk, Linux
Boson AI
4+ YOECandidates need 4+ years in site reliability, infrastructure or systems engineering, with strong hands-on expertise in networking, cluster allocation, Ceph storage, GPU and server administration, or AI infrastructure. Strong Linux and scripting skills and clear communication with a distributed team are required.
Kubernetes, SLURM, MAAS, Ceph, InfiniBand, Terraform
Syntronic
Solide expérience du développement C++ en production; C++11, C++14 ou version ultérieure; Programmation systèmes Linux et/ou RTOS
C++, Linux, RTOS, ARM, x86
Mecka
Candidates need deep expertise in 3D computer vision, neural rendering and multi-view geometry, plus experience training large 3D vision models in PyTorch on large datasets. Writing custom CUDA kernels and first-author publications at CVPR, ICCV or ECCV are strong signals.
PyTorch, CUDA, WebGL
Mecka
6+ YOECandidates need 6+ years in cloud or infrastructure engineering with production AWS experience at scale. Deep AWS networking and large-scale S3 storage skills, Terraform and CI/CD practice, IAM security knowledge and a scripting language such as Python or Go are required.
AWS, Terraform, Route 53, Transit Gateway, AWS DataSync, AWS Snowball
Mecka
Candidates need deep expertise in deep learning and 3D computer vision, especially human pose estimation. Experience training large vision models from scratch and working with parametric body models and large motion datasets is required.
PyTorch
15 companies