Forward Deployed Engineer - Ph.D. Early Career - AI Inference

Location: Vancouver, British Columbia, Canada; hybrid schedule with at least 3 days per week onsite

Salary: CAD $132,000–$198,000 annually

Company

hirify.global develops cloud infrastructure and hirify.global Cloud Platform for AI, including GPT-in-a-Box capabilities for building, fine-tuning, and running generative AI and machine learning models.

What you will do

• Deploy, configure, and validate hirify.global Enterprise AI workloads across hybrid multi-cloud and on-premises environments.
• Perform root-cause analysis and hands-on debugging across GPU orchestration, container networking, storage I/O, model runtimes, Linux, hypervisors, and Kubernetes.
• Develop production automation scripts, CLI tools, Helm charts, reference architectures, and reusable deployment frameworks.
• Feed operational insights, reproducible test beds, and code patches back to product engineering teams.
• Evaluate and benchmark inference frameworks including vLLM, TensorRT-LLM, Hugging Face TGI, and Triton Inference Server.
• Optimize inference latency, throughput, time-to-first-token, inter-token latency, GPU utilization, and accelerator performance; prototype speculative decoding, KV cache management, continuous batching, and quantization techniques.

Requirements

• Ph.D. in Computer Science, Computer Engineering, Artificial Intelligence, or a related quantitative field, with academic or thesis focus on AI/ML systems, distributed systems, operating systems, or computer architecture.
• Strong proficiency in Python and C++ or Go, with emphasis on systems programming, concurrency, and API development.
• Deep theoretical and practical knowledge of Linux, systems performance profiling, Docker, and Kubernetes.
• Hands-on experience deploying, serving, or profiling LLMs and diffusion models using PyTorch and open-source serving frameworks such as vLLM, Hugging Face TGI, or Triton.
• Ability to explain complex distributed systems failures through clear technical action plans for customers and internal engineering teams.

Nice to have

• Internship, research fellowship, or co-op experience in forward deployed engineering, site reliability, infrastructure engineering, or ML platform development.
• Experience with CUDA, NVIDIA Nsight Systems, Triton kernels, or ROCm.
• Familiarity with POSIX, S3/Object Store, NVMe-oF, KVM, or AHV.
• Contributions to open-source inference runtimes, distributed ML libraries, or Kubernetes operators.

Culture & Benefits

• Hybrid work arrangement with at least 3 days per week onsite in Vancouver for this role.
• Mentorship from a Technical Manager and collaboration across AI solutions engineering, forward deployed engineering, product engineering, research, and customer teams.
• RRSP with dollar-for-dollar matching up to 7% of base salary.
• Mental health coverage, paramedical benefits, paid maternity and parental leave, bereavement leave, company holidays, sick days, wellness days, and vacation starting at 10 days.
• RSUs and an Employee Stock Purchase Plan with a 15% discount.
• hirify.global does not assist with work permits or permanent residence applications, including provincial nomination.

Hiring process

• The application deadline is 40 days from the posting date, although the posting may close earlier if the position is filled or extended.