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Senior Java backend developer building REST/SOAP APIs, JMS integrations, and Camunda workflows on Wildfly/JBoss for enterprise clients.
Build and operate AI model validation, quantization, and safety systems for Akamai’s Inference Cloud, including vulnerability scanning, optimization pipelines, and compliance guardrails.
Build and lead front-end features for financial apps using React/Angular, AWS serverless services, and AEM, while modernizing platforms and mentoring teams.
Oversee core banking technology projects, coordinating teams to implement and support FIS systems like IMPACS and COBOL-based transaction platforms for financial institutions.
Senior software engineer building core banking software using MUMPs, PSL, Python, and JavaScript to enhance retail banking systems and meet US financial regulations.
Build AI agent systems that plan and act in real materials-discovery labs, integrating predictive models with robotic experiments to accelerate energy-tech R&D.
Build and deploy production-grade ML systems for an AI data startup, designing LLMs, embeddings, and reinforcement learning environments from scratch.
Build and optimize AI perception models that fuse camera, LiDAR, and radar data to enable autonomous trucks.
Lead ROCm software validation for AMD Instinct GPUs, defining test architecture, CI/CD pipelines, and release gates for AI/ML and HPC workloads across multi-node systems.
Build and optimize inference systems for AI models powering trading decisions, focusing on GPU kernels, FPGAs/ASICs, and data streaming to maximize performance in a high-impact, research-driven environment.
Build and optimize large-scale AI model training systems (kernels, data loading, parallelism) for HRT’s trading-focused foundation models, working closely with researchers to improve performance and impact.
Builds and maintains the data pipelines and infrastructure that power RoboForce's AI robotics models, handling everything from raw teleoperation data to post-training reinforcement learning loops.
Designs and deploys machine learning models for autonomous drone navigation using real-world flight data, focusing on computer vision and deep learning to improve safety and precision in last-mile delivery.
The role: Own the loop from raw robot experience to a model running on real hardware. Munari observes what robots see, sense, decide, and do. We want to use that data to detect abnormal behavior, understand failures,…
Support and optimize high-performance computing (HPC) systems for scientific and AI workloads, troubleshooting applications and collaborating with engineering to improve platform usability.
Lead a high-scale web portal for AI researchers to manage, monitor, and optimize NVIDIA’s Managed AI research Superclusters using full-stack development and cloud-native tools.
A Senior Solutions Architect partners with US/CA universities and research institutes to architect AI-accelerated physics/engineering workflows, optimize GPU-based simulations, and enable AI-driven scientific discovery (e.g., neural operators, physics-informed models).
Build and optimize NVIDIA’s deep-learning inference stack (TensorRT, TensorRT-LLM) by profiling models, writing GPU kernels, and integrating OSS frameworks to maximize GenAI performance across datacenter and edge GPUs.
Build and ship production-grade AI agents that autonomously handle multi-step workflows, integrating tools and maintaining long-term context for a next-gen workspace product.
Build and optimize CUDA features for AI frameworks like PyTorch and TRT-LLM, improving multi-GPU performance and distributed runtime for training and inference workloads.
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