Posted 16 months ago
AI Runtime Engineer
@ EnCharge AI
Canada
Overview
EnCharge AI is hiring an AI Runtime Engineer to build and optimize the execution software stack for its next-generation AI accelerator. The role covers low-latency runtime code for deep learning inference and training across cloud and edge, working with hardware, compiler and framework teams.
Responsibilities:
- Develop and optimize the AI runtime software stack for deep learning workloads
- Implement task scheduling, memory management and kernel execution
- Optimize host-device data movement over PCIe, DMA and shared memory
- Integrate runtime components with AI compilers and inference frameworks
Requirements summary:
- Bachelor's or Master's in Computer Science, Electrical Engineering or related field
- 3+ years of low-level runtime development for AI accelerators, GPUs or HPC
- Strong C/C++ and low-level systems programming
- Experience with dataflow architectures and hardware-aware optimization
Tools & skills
Source and dates
Employer career site / ATS feed · greenhouse
- Employer posting date
- 2025-07-10
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-10-10
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Software development |
| Experience | 3+ years |
| Work setting | Office, Laboratory |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required), Master’s degree (preferred) |
| Fields of study | Computer Science, Electrical Engineering |
Summary and details written by AI from the posting; the employer’s posting is the authority.
EnCharge AI
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Where the future of AI compute is being defined and built, to unlock new levels of machine intelligence.
Full company description
EnCharge AI is a leader in advanced hardware and software systems for AI computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions, at a fraction of the cost. The high-performance architecture is coupled with seamless software and will enable the immense potential of AI to be accessible in power -, energy-, and space-constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.
- LinkedIn followers
- 19,885
- People associated on LinkedIn
- 91
- Reported office locations
- 4500 Great American Parkway, Suite 230, Santa Clara, California 95054, US
- Business categories
- Semiconductor
- Artificial Intelligence
- Software
- Embedded Software
- Artificial Intelligence (AI)
- Machine Learning
- AI Infrastructure
- Other recorded names
- EnCharge AI
- Profile identifies a recruitment agency
- No
- Reported total investment
- 162,900,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
EnCharge AI is a leader in advanced hardware and software systems for AI computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions, at a fraction of the cost. The high-performance architecture is coupled with seamless software and will enable the immense potential of AI to be…
| Field | Value |
|---|---|
| Industry | Embedded Software Products |
| Company size | 11-50 employees |
| Headquarters | Santa Clara, California |
| Organization type | Privately Held |
| Year founded | 2022 |
| Open jobs on Jobsy | 7 |
| View page |
EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.
About the Role
EnCharge AI is seeking an AI Runtime Engineer to develop and optimize the execution stack for our next-generation AI accelerator. In this role, you will work on low-latency, high-performance runtime software that enables efficient execution of deep learning models on specialized hardware. You will collaborate with hardware, compiler, and AI framework teams to deliver optimized AI inference and training performance across cloud and edge environments.
Responsibilities
- Develop and optimize the AI runtime software stack for executing deep learning workloads on AI accelerators.
- Implement task scheduling, memory management, and kernel execution strategies for efficient computation.
- Optimize data movement between host and device using PCIe, DMA, shared memory.
- Design and implement high-performance APIs for AI Inference frameworks such as OpenVino, ONNX Runtime, vLLM
- Work on graph execution optimizations, including kernel fusion, pipelining, tensor tiling, and caching.
- Integrate runtime components with AI compilers (LLVM, MLIR, XLA, TVM) for optimized execution.
- Ensure scalability and reliability of the AI runtime for cloud-based and edge AI deployments.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
- 3+ years of experience in developing low-level runtime software for AI accelerators, GPUs, or HPC systems.
- Strong proficiency in C/C++ and low-level systems programming.
- Deep understanding of task scheduling, concurrency, and memory hierarchy.
- Experience with hardware-aware optimizations and dataflow architectures.
- Familiarity with deep learning execution frameworks (ONNX Runtime, TensorRT, TVM, OpenVINO).
- Experience with low-latency, high-throughput workload execution for AI models.
- Strong debugging and profiling skills for optimizing AI execution performance.
- Exposure to AI model deployment pipelines (Triton, TensorFlow Serving).
EnchargeAI is an equal employment opportunity employer in the United States.
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