Referso Jobs

ML Infrastructure and Performance Engineer, AI Expert

Weekday AI · Posted Nov 12, 2026

Open

Remote
Remote
Full-time
$90–$120 per hour
2+ years

ML Infrastructure and Performance Engineer, AI Expert

Weekday AI · Posted Nov 12, 2026

Open

Remote
Remote
Full-time
$90–$120 per hour
2+ years

AI Inference / Systems Software Architect

Netlist · Posted Nov 12, 2026

Open

Irvine, California, United States
$275K–$275K per year
10+ years

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Lead the design and optimization of AI inference systems, integrating advanced memory and compute technologies to deliver high-performance, scalable solutions.

Compensation

Salary Range: $275,000

Responsibilities

Develop deep understanding of modern AI inference workloads and system-level behavior
Analyze execution characteristics of LLMs, generative AI, and multimodal inference
Identify bottlenecks in compute, memory, interconnect, and software
Architect software infrastructure for heterogeneous memory and compute resources
Evaluate and contribute to AI software stacks such as PyTorch, CUDA, ROCm, Triton, vLLM

Requirements

Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field; PhD is a plus
Nice to have: LLM inference
Nice to have: Transformer architecture
Nice to have: KV cache
Nice to have: vLLM

Skills

C/C++Python Computer Architecture Memory Systems

Senior Agentic Systems & Applications Engineer

Advanced Micro Devices, Inc · Posted Nov 10, 2026

Open

Helsinki, Uusimaa, Finland
Full-time · Senior

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Help build advanced agentic AI systems that make HPC and GPU workloads easier to deploy, manage, optimize, and scale.

Responsibilities

Design and develop agentic AI frameworks supporting planning, tool use, memory, reasoning, and long-running workflows
Build automation for environment setup, containerization, dependency management, and reproducible workload deployment
Compose and launch scheduler-based workloads using resource-aware configurations and appropriate operational policies
Investigate failures using logs, telemetry, and system information, and develop safe and reliable automated remediation approaches
Profile applications and workloads to identify performance bottlenecks and opportunities for optimization

Requirements

Master’s or PhD in Computer Science
Master’s or PhD in Computer Engineering
Master’s or PhD in Electrical Engineering
Master’s or PhD in a related technical discipline
Nice to have: HPC environments

Skills

Agentic AI LLM inference and serving Python C

ML Hardware Achitect

Google · Posted Nov 10, 2026

Open

Tel Aviv, Israel, Israel +1 more
On-site
Full-time · Senior
15+ years

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Lead architectural definition and specification of next-generation ML compute IP and acceleration blocks for Google Cloud AI silicon.

Locations (2)

Tel Aviv, Israel, Israel
Haifa, Israel, Israel

Responsibilities

Lead architectural definition, modeling, and specification of next-generation, high-performance ML compute IP and acceleration blocks for Cloud AI silicon.
Own the ML IP architecture specification throughout the entire product lifecycle: concept exploration, cycle-accurate modeling, implementation, silicon bring-up, and production.
Partner closely with leading AI research and algorithm teams and software compiler teams to explore architectural trade-offs and define hardware requirements for emerging model architectures.
Drive comprehensive architecture studies, evaluating compute dataflows, numerical formats, sparsity, and specialized acceleration mechanisms such as key-value cache optimization.
Drive performance, latency, power efficiency, and silicon area projections across model topologies and workload configurations.

Software Engineering Manager, AI/ML Infrastructure and Performance Engineering

Google · Posted Nov 10, 2026

Open

Bengaluru, Karnataka, India
On-site
Full-time · Manager
8+ years

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Lead a team of software engineers focused on AI/ML infrastructure and performance engineering, driving technical leadership, project delivery, and cross‑team collaboration across Google’s global ML stack.

Responsibilities

Learn and build an intuitive understanding of existing data collection, analysis, and visualization workflows with deep introspection across Frameworks, Accelerated Linear Algebra (XLA) and runtime stack.
Support new and exciting ML paradigms (such as horizontal scaling for upcoming TPU chips) by making contributions across the end to end stack and analysis tools.
Partner with ML Stack leads to understand model optimization use cases and bring debugging to feel native in 3P environments (VSCode, Cursor, Grafana, etc.).
Work with OSS ML inference frameworks such as vLLM, SGLang to provide insights in Xprof about performance improvement opportunities.
Partner with other teams that own various parts of the ML stack to understand performance optimization use cases.

Requirements

Bachelor's degree or equivalent practical experience

Skills

software engineering machine learning infrastructure computer architecture

Kernel Engineer

Recursive Superintelligence · Posted Oct 20, 2026

Open

San Francisco
2+ years

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Responsibilities

Develop and optimize performance-critical components across GPU/accelerator kernels, ML compiler and code-generation pipelines, or framework and serving runtimes
Identify bottlenecks across compute, memory movement, scheduling, and execution; use profiling and measurement to guide optimization
Improve the performance, efficiency, or capabilities of ML training and inference stacks, including their kernels, runtime components, and compiler pathways
Work close to frameworks and serving systems such as PyTorch, JAX, vLLM, and SGLang, where relevant, to translate workload needs into low-level systems improvements
Maintain correctness and numerical reliability while making performance tradeoffs; build clear benchmarks and validation approaches

Skills

CUDA HIP Triton Pallas NKI/Neuron XLA MLIR TVM

Senior Compiler Engineer

Luminal · Posted Nov 7, 2026

Open

San Francisco, California, United States
On-site
Full-time · Senior
$200K–$350K per year
Visa sponsorship

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Design and build core compiler infrastructure in Rust

Compensation

Annual base salary: $200,000–$350,000 USD. Equity: 0.5%–2%. Visa: Will sponsor.

Responsibilities

Design and build core compiler infrastructure in Rust
Build search-based optimization systems for discovering faster kernels
Develop backend code generation for multiple targets (NVIDIA, Trainium, AMD, TPU, etc.)
Implement compiler passes for fusion, scheduling, memory planning, and kernel selection
Profile real models, identify bottlenecks, and improve latency and throughput

Requirements

Nice to have: distributed systems
Nice to have: Egg/Egglog
Nice to have: Rust
Nice to have: AI models production

Skills

LLVM MLIR Rust PTX/SASS GCN/RDNA assembly torch.compile XLA

Staff Machine Learning Engineer

Unity Technologies · Posted Sep 17, 2026

Open

Mountain View, California, United States
Senior
6+ years

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Lead and mentor a team of ML engineers, set technical vision, drive model development and deployment for AI-driven game experiences.

Compensation

Base Salary Range: We determine the base salary range for this role based on your primary work location: Zone A: $218,400 - $283,900 Zone B: $194,100 - $252,300 Zone C: $172,200 - $223,900

Responsibilities

Set technical vision and roadmap for computer vision and multi-modal AI models
Drive design and implementation of models for image and video understanding, generation, segmentation, detection, and dense prediction
Make decisions on model architecture, training strategy, data pipelines, and evaluation
Own the path from research prototype to production, including training, fine-tuning, distillation, export, and serving
Collaborate with research scientists to translate novel CV and multi-modal model architectures into deployable implementations

Requirements

Nice to have: world-model
Nice to have: video-generation
Nice to have: neural rendering
Nice to have: NeRF
Nice to have: 3DGS

Skills

computer vision multi-modal modeling transformer

Machine Learning System Software Engineer

Apple · Posted Nov 8, 2026

Open

Sunnyvale, California, United States
On-site
3+ years

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Develop high‑performance, low‑power AI solutions for Apple products on the Apple Neural Engine (ANE) team.

Responsibilities

Design and implement system software for AI hardware
Define interfaces for internal and external developers
Manage lifecycle, error handling, and forward compatibility
Ship production system software
Collaborate with framework, compiler, and hardware teams

Requirements

Bachelor's degree
Nice to have: ML runtimes
Nice to have: inference engines
Nice to have: accelerator driver stacks
Nice to have: TensorRT

Skills

C C++runtime systems process/thread models memory management IPC/RPC software‑hardware interfaces registers

Head of IT Service Management

Cognita Schools · Posted Nov 6, 2026

Open

London, England, United Kingdom
On-site

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Lead and scale a global IT Service Desk and ITSM function, driving AI-enabled support and service excellence.

Responsibilities

Lead global Service Desk and ITSM teams
Build AI-enabled Service Desk with omni-channel support
Own ITSM framework and roadmap
Define KPIs, SLAs and XLAs
Partner with IT and business leaders

Requirements

Bachelor's degree in information technology or related discipline

Skills

ITIL ITSM AI automation virtual agents GenAI chatbots workflow automation KPI SLA XLA vendor management

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