Improve the performance of Hark's Megatron-based pretraining systems across thousands of GPUs, focusing on model FLOPs utilization, training throughput, and kernel performance.
Compensation
The US base salary range for this full-time position is between $180,000 - $450,000 annually.
Responsibilities
Own MFU and step time for pretraining runs across dense and mixture-of-experts models
Write or integrate fused and custom kernels (CUDA, Triton, CUTLASS) for attention, normalization, and mixture-of-experts routing
Overlap communication with compute, reduce pipeline bubbles, and tune activation recomputation and memory use to raise throughput per GPU
Implement model and optimizer sharding, and optimize data, tensor, pipeline, sequence, context, and expert parallelism for dense and mixture-of-experts architectures
Profile GPU kernels, collective communication, data loading, and mixed-precision training to identify performance and numerical stability bottlenecks
Requirements
Nice to have: mixture-of-experts training at scale
Nice to have: load balancing
Nice to have: all-to-all communication optimization
The Technical Lead Analyst (Quality Control) plans and executes software/hardware Quality Control verification activities for complex products while collaborating with cross-functional engineering teams.
Compensation
$111,500 - $189,500
Responsibilities
Performs manual testing on Software/Hardware communications wireless system level
Lead a multidisciplinary test team at test events and provide reports directly to customer representatives
Helps define and implement Quality Control practices, procedures, standards, and reporting
Document defects and produce project status reports
Execute manual test plans/test cases
Requirements
Bachelor's degree in a related discipline or equivalent combination of education, training, and experience
Nice to have: Ability to obtain and maintain a U.S. Secret Security Clearance
Responsible for customer relationship management, market position development, and maintenance sales business (including renewals and new business) within the assigned region.
Responsibilities
Develop and create customer relationships within the assigned region
Develop KONE's market position in the region
Win and communicate sales opportunities for the entire sales team (e.g., cross-selling)
Coordinate with other teams (e.g., construction sites) to ensure customer satisfaction, resolve complaints, and coordinate parts
Manage customer profiles and contact information, maintain CRM data, and update/track sales activities
Requirements
Bachelor's degree
Nice to have: Large scale electromechanical sales model experience
Lead the outdoor (field) test activities for Parallel Wireless's wireless telecom and cloud-based 4G/5G ORAN solutions, owning the outdoor test domain end-to-end from strategy to KPI analysis.
Responsibilities
Lead and own the outdoor/field test activities of the team: plan, schedule and execute drive tests, walk tests and field trials of Parallel Wireless 4G/5G ORAN products (radio units, DU/CU and core).
Define the outdoor test strategy, test plans, test cases and acceptance criteria covering coverage, capacity, throughput, latency, mobility (handover/cell reselection), interference and KPI benchmarking against 3GPP and customer requirements.
Design and build outdoor end-to-end test setups: site survey and selection, antenna and RF path, backhaul, power, GPS/timing, UE fleet and measurement tools.
Execute field measurement campaigns with drive-test tools and scanners, and analyze RF and performance KPIs (RSRP, RSRQ, SINR, throughput, BLER, latency, call/session drops, handover success rate).
Analyze and debug UE, RAN and core logs collected in the field and resolve issues in outdoor setups (For Ex: UE/mobile issues, RF/antenna/fiber connectivity, backhaul, power and timing, etc.); isolate RF, baseband, configuration and software issues and drive them to root cause together with R&D.
Requirements
Bachelor degree in Electrical, Electronic Communications/Computer Science Engineering
Lead and scale developer programs in agriscience, engaging ecosystems, advocating NVIDIA technologies, and driving adoption across verticals.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 184,000 USD – 287,500 USD.
Responsibilities
Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in agriscience
Accelerate critical workloads by demonstrating solutions that integrate NVIDIA stack into developer products
Advise on technical enablement resources such as sample code, guides, and demonstration pipelines
Guide partners and startups through onboarding and integration with NVIDIA’s programs
Map, track, and monitor the developer ecosystem to identify growth opportunities
Requirements
Master’s or Doctor’s degree in Bioinformatics, Biochemistry, Computational Biology, Computational Chemistry, Plant Science, Data Science, or a related field
Nice to have: building vertical-specific solutions
Lead and scale developer programs in agriscience, champion NVIDIA technologies, and drive adoption across the developer ecosystem.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 184,000 USD – 287,500 USD.
Responsibilities
Serve as the trusted technical advisor and champion for the developer ecosystem in agriscience
Accelerate critical workloads by demonstrating solutions that integrate NVIDIA stack into developer products
Advise on technical enablement resources such as sample code, guides, and demonstration pipelines
Guide partners and startups through onboarding and integration with NVIDIA’s programs
Map, track, and monitor the developer ecosystem to identify growth opportunities
Requirements
Master’s or Doctor’s degree in Bioinformatics, Biochemistry, Computational Biology, Computational Chemistry, Plant Science, Data Science, or a related field (or equivalent experience)
Nice to have: building vertical-specific solutions
Nice to have: real-time processing
Nice to have: low-latency decision-making
Nice to have: designing and implementing systems for real-time processing
Lead strategy, roadmap, and launch of HPE Private Cloud AI platform components, driving adoption and revenue across GPU compute, AI networking, and AI software stack.
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– United States of America: Annual Salary USD 165,500 - 313,500 in Colorado // 178,000 - 339,000 in Massachusetts // 157,000 - 361,000 in Texas
Responsibilities
Own strategy and roadmap for Private Cloud AI area across GPU compute, AI networking, and AI software stack
Define platform layers including GPU configurations, Spectrum-X and InfiniBand fabrics, storage, Kubernetes orchestration, scheduling, and curated AI tools
Drive features that increase GPU utilization and time-to-value such as GPU sharing, fair-share quotas, gang scheduling, and multi-tenant isolation
Lead agentic AI roadmap, integrating secure runtimes, model serving, and developer frameworks
Partner with NVIDIA and open-source ecosystem to co-define integrations, designs, and release timing
Requirements
Bachelor's degree in Computer Science, Engineering, or related field
Own strategy and roadmap for the Private Cloud AI platform, drive product development, and lead launches end to end.
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 165,500 - 313,500 in Colorado // 178,000 - 339,000 in Massachusetts // 157,000 - 361,000 in Texas
Responsibilities
Own strategy and roadmap for your Private Cloud AI area across GPU compute, AI networking, and the AI software stack
Define the platform across layers: GPU and accelerator configurations, Spectrum-X and InfiniBand fabrics, storage, Kubernetes orchestration, scheduling, and curated AI tools
Make GPUs pay off by driving features that raise utilization and time-to-value
Lead the agentic AI roadmap and bring secure agent runtimes, model serving, and developer frameworks into the platform
Partner deeply with NVIDIA and the open-source ecosystem to co-define integrations, validated designs, and release timing
Requirements
Bachelor's degree in Computer Science, Engineering, or related field
Research, design, and development of large language models, multimodal LLMs, and agentic AI systems.
Compensation
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 20 USD – 94 USD.
Responsibilities
Research and develop large language models, multimodal foundation models, and agentic AI systems across text, vision, speech, audio, and video.
Develop, train, fine-tune, and evaluate foundation models using supervised fine-tuning, instruction tuning, preference optimization, reinforcement learning, and related post-training techniques.
Develop and evaluate capabilities including reasoning, multimodal understanding, planning, tool use, conversational interaction, and multi-step task completion.
Build and curate high-quality datasets and evaluation benchmarks for model training, post-training, and performance analysis.
Prototype new model architectures, algorithms, training strategies, and inference techniques, and collaborate with researchers and engineers to scale successful ideas.
Requirements
MS or PhD degree in Computer Science, Electrical Engineering, Artificial Intelligence, Applied Mathematics, or a related field
Nice to have: large language models
Nice to have: vision-language models
Nice to have: multimodal models
Nice to have: reinforcement learning for agentic reasoning
Senior Software Engineer, AI Infrastructure Solutions
Member of Technical Staff, Distributed Training PerformanceNewHark · San Jose, US
Senior QA Engineer – Outdoor Test LeadParallel Wireless · Tzemach, Israel