Genesis
Inference
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Paris
Employer listed it 5 months ago · Added today
Been open since 5 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Hybrid · Paris
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Software
This employer didn't state pay. Jobs like this usually pay around $165k–$255k a year, a typical range taken from 595 mid-level software roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around Paris, London, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Paris, London, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
What You’ll Do
Build low-latency inference pipelines for on-device deployment, enabling real-time next-token and diffusion-based control loops in robotics
Design and optimize distributed inference systems on GPU clusters, pushing throughput with large-batch serving and efficient resource utilization
Implement efficient low-level code (CUDA, Triton, custom kernels) and integrate it seamlessly into high-level frameworks
Optimize workloads for both throughput (batching, scheduling, quantization) and latency (caching, memory management, graph compilation)
Develop monitoring and debugging tools to guarantee reliability, determinism, and rapid diagnosis of regressions across both stacks
What You’ll Bring
Deep experience in distributed systems, ML infrastructure, or high-performance serving (8+ years)
Production-grade expertise in Python, with strong background in systems languages (C++/Rust/Go)
Low-level performance mastery: CUDA, Triton, kernel optimization, quantization, memory and compute scheduling
Proven track record scaling inference workloads in both throughput-oriented cluster environments and latency-critical on-device deployments
System-level mindset with a history of tuning hardware–software interactions for maximum efficiency, throughput, and responsiveness
Requirements
- ·Deep experience in distributed systems, ML infrastructure, or high-performance serving (8+ years)
- ·Production-grade expertise in Python, with strong background in systems languages (C++/Rust/Go)
- ·Low-level performance mastery: CUDA, Triton, kernel optimization, quantization, memory and compute scheduling
- ·Proven track record scaling inference workloads in both throughput-oriented cluster environments and latency-critical on-device deployments
- ·System-level mindset with a history of tuning hardware–software interactions for maximum efficiency, throughput, and responsiveness
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Genesis, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 17h ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open software roles with comparable remote rules.
Free to apply, no account needed.
Typically $165k to $255k per year · You'll be taken to the employer's careers page.