About the role

Aplyr's Quick Take

This role is focused on building and optimizing low-latency inference pipelines for real-time applications, particularly in robotics. It's a technical, individual contributor position requiring deep expertise in distributed systems and performance optimization, primarily using languages like Python, CUDA, and C++.

Good fit

Ideal candidates have over 8 years of experience in ML infrastructure or high-performance serving, with a strong background in systems programming. They should be hands-on, detail-oriented, and comfortable working with low-level code and hardware-software interactions.

Worth noting

The role emphasizes low-level performance mastery and requires a proven ability to scale inference workloads, which may be challenging for those without extensive experience in high-performance computing. The location is Paris, which may limit applicants to those able to work there.

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

Skills & Tags

python go rust product design

Aplyr's read

Genesis AI is a cutting-edge AI company focusing on foundational and applied AI technologies, attracting top technical talent for its global operations.
Synthesized from recent postings & public sources

What's promising

•Genesis AI is at the forefront of AI innovation, specializing in foundational models and robotics.
•The company offers diverse roles across global tech hubs, indicating robust growth and international expansion.
•Genesis AI's focus on foundational models suggests a commitment to long-term technological leadership.

What to watch

•Limited public information about company culture and employee satisfaction could concern potential applicants.
•High concentration of technical roles may limit opportunities for non-technical professionals.
•The competitive AI industry landscape poses challenges for sustained differentiation and market share.

Why Genesis AI

•Genesis AI's emphasis on foundational models and robotics sets it apart in the AI sector.
•The company has a strong international presence, with roles in major tech cities like Paris, London, and the Bay Area.
•Genesis AI's focus on both foundational and applied AI technologies provides diverse career pathways.

Aplyr’s read is generated by AI from public sources. Was it useful?