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What you’ll be doing:
Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
Build and deploy solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.
Build custom PoCs for solutions that address customer's critical business needs while applying NVIDIA's hardware and software technologies.
Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
7+ years of Solutions Engineering (or similar Sales Engineering roles) experience.
Established track record of deploying AI/ ML solutions in cloud environments including AWS, GCP, Azure or OCI
Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc.
Effective time management and capable of balancing multiple tasks.
Ability to communicate ideas clearly through documents, presentation, etc.
Ways to stand out from the crowd:
AWS, GCP, Azure or OCI Professional Solution Architect Certifications
Hands-on experience with NVIDIA GPUs and SDKs (i.e. CUDA, Triton, TensorRT-LLM, etc.)
Deep understanding of the full software development lifecycle, including best practices for system design, architectural patterns, and comprehensive testing.
Solid working knowledge of Python
System-level experience, specifically GPU-based systems
You will also be eligible for equity and .
These jobs might be a good fit

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This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

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Passion, excitement & global collaboration are all core to what it means to be a FlyMate. At Flywire, we’re on a mission to deliver the world’s most important and complex payments. We use our Flywire Advantage - the combination of our next-gen payments platform, proprietary payment network and vertical specific software, to help our clients get paid, and help their customers pay with ease - no matter where they are in the world.
What more do we need to truly be unstoppable? Perhaps, that is you!
Who we are:
Today we support more than 4,800 clients across the global education, healthcare, travel & B2B industries, with diverse payment methods across 240 countries & territories and more than 140 currencies.
With over 1,200 global FlyMates, representing more than 40 nationalities, and in 12 offices world-wide, we’re looking for FlyMates to join the next stage of our journey as we continue to grow.
The Opportunity :
We, at Flywire, are seeking an experienced Implementation Consultant to join our dynamic and growing Healthcare vertical.
Key Responsibilities
:
What We Offer:
Submit today and get started!
We are excited to get to know you! Throughout our process you can expect to meet with different FlyMates including the Hiring Manager, Peers on the team, the VP of the department, and a skills assessment. Your Talent Acquisition Partner will walk you through the steps and be your “go-to” person for any questions.
Flywire is an equal opportunity employer. With over 30 nationalities across 12 different offices, and diversity and inclusion at the core of our people agenda, we believe our FlyMates are our greatest asset, and we’re excited to watch our unique culture evolve with each new hire.
Flywire is an equal opportunity employer.
#LI-remote

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In this role, your responsibilities will include but not limited to:
Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / orschoolwork/classes/research.The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:
Preferred Qualifications:
Weoffer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here:
Annual Salary Range for jobs which could be performed in the US:This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
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What We Offer
$101,000.00 - $139,000.00Santa Clara,CAJob Summary
As a CBM Level 3 within the Global Sourcing and Procurement team, you will support sourcing initiatives, contract and supplier management for a stable portfolio of construction-related suppliers. This role requires regular on-site presence to engage directly with stakeholders, build strong relationships, and develop a deep understanding of their business needs and priorities. You will apply your expertise to solve complex sourcing challenges, contribute to supplier strategies, and help drive value across day-to-day technical infrastructure construction.
Key Responsibilities
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As a Senior Product Manager, you will define and own the strategy for how we design, build, and scale AI-powered help experiences. You will work closely with design, engineering, data science, and operations to turn emerging AI capabilities into simple, trusted, and impactful products for customers and the business.
What you will accomplish:
Define the product strategy, roadmap, and execution for AI Agents and composable AI platforms.
Use data and experimentation to guide decisions, measure impact, and drive continuous improvement.
Turn customer and business needs into clear, actionable product direction and requirements.
Bring data, insights, and industry trends to inform and improve the product experience.
Partner closely with design, engineering, and data science to deliver reliable, high-quality products at scale.
Build alignment and strong partnerships across teams to stay focused on shared goals.
Keep the customer at the center of every product decision.
What You Will Bring:
6+ years of product management experience, with at least 2 years in AI/ML or data-driven products.
Experience applying AI to improve customer experiences and solve real customer problems (e.g., conversational AI).
Skilled at using data and insights to uncover opportunities, drive prioritization, and measure success.
Technical fluency and foresight to collaborate with engineers.
High ownership mindset with a bias for action and focus on creating customer and business impact.
Experience building 0→1 products and navigating ambiguity with confidence.
Experience in customer support or self-service domains is a plus but not required.
The base pay range for this position is expected in the range below:
$108,000 - $186,900
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What you’ll be doing:
Architect and Build Scalable Systems: Drive the design and implementation of the AON profiling service's core systems. You'll master inter-process communication (IPC), memory management, and building low-overhead architectures to handle profiling data from complex multi-node, multi-process, multi-GPU, and cluster environments.
Elevate Software Engineering Excellence: Promote high standards in software development, including design patterns, concurrency, parallelism, and advanced debugging for asynchronous systems. Our commitment to code quality and robust testing ensures a reliable profiling service.
Lead, Mentor, and Innovate: Guide and mentor engineers, provides impactful code reviews, and shape technical roadmaps. Proactively identify complex technical issues within the AON project, break them down, and craft innovative solutions. Your problem-solving prowess will be crucial for AON's success with ML workloads.
Architect and Build High-Performance Platforms: Transform user needs into clear requirements and design documents. Explore diverse approaches to problems, making well-reasoned recommendations. Lead end-to-end feature development—from planning and prototyping to implementation, testing, and customer evaluation. This involves hands-on development across user applications, drivers, performance counter libraries, and lower-level platform/hardware abstraction layers.
Collaborate Across Boundaries: Partner effectively with diverse internal and external teams. Exceptional communication and collaboration skills are key to integrating AON seamlessly into the broader profiling and ML ecosystem.
What we need to see:
BS or MS degree or equivalent experience in Computer Engineering, Computer Science, or related degree.
6+ years of meaningful software development experience in C, C++, and Python
6+ years in system software design, operating systems fundamentals, computer architectures, performance analysis, and delivering production-quality software.
Strong interpersonal, verbal, and written communication, demonstrating the ability to build cross-organizational partnerships and lead technical teams through complex challenges.
Profiling & Performance Tools Expert: Extensive knowledge of profiling technologies (sampling, tracing), overhead analysis, and diverse profiling data (CPU/GPU events, performance counters, API traces, event correlation). Familiarity with existing profiling ecosystems and their limitations is a plus.
GPU & CUDA Proficiency: In-depth knowledge of CUDA APIs, runtime, streams, kernels, and GPU architecture.
ML Ecosystem & Performance Analysis: Familiarity with ML frameworks such as PyTorch and JAX, and knowledge of performance analysis for AI training/inference applications.
Large-Scale System Development & Debugging: Experience developing and debugging across complex multi-layered software systems, including user mode and kernel drivers, with a proven ability to contribute to and extend substantial codebases (100s of millions of lines).
Proficiency in Designing APIs and Interfaces for Profiling Tools: Designs robust, flexible APIs and interfaces enabling seamless integration of profiling tools with various frameworks and custom code.
Mastery of Problem Simplification: A history of breaking down ill-defined problems in complex technical domains, designing effective solutions, and leading teams to implement them.
Ways to stand out from the crowd:
Pioneering Low-Overhead Profiling Systems: A track record of designing and implementing profiling systems with minimal performance impact on target workloads, especially in complex multi-process and distributed environments.
Deep Understanding of PyTorch Internals & CUDA Usage: A comprehensive grasp of how PyTorch uses CUDA, including tensor memory, operations, and distributed training functionalities.
GPU Performance Analysis & Optimization Acuity: The ability to analyze profiling data and translate it into concrete, actionable insights, particularly within CUDA and ML Frameworks like PyTorch.
Translating Customer Needs: Skilled at redefining customer requests into actionable use cases and requirements.
Strong understanding of system security principles.
You will also be eligible for equity and .

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What you’ll be doing:
Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
Build and deploy solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.
Build custom PoCs for solutions that address customer's critical business needs while applying NVIDIA's hardware and software technologies.
Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
7+ years of Solutions Engineering (or similar Sales Engineering roles) experience.
Established track record of deploying AI/ ML solutions in cloud environments including AWS, GCP, Azure or OCI
Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc.
Effective time management and capable of balancing multiple tasks.
Ability to communicate ideas clearly through documents, presentation, etc.
Ways to stand out from the crowd:
AWS, GCP, Azure or OCI Professional Solution Architect Certifications
Hands-on experience with NVIDIA GPUs and SDKs (i.e. CUDA, Triton, TensorRT-LLM, etc.)
Deep understanding of the full software development lifecycle, including best practices for system design, architectural patterns, and comprehensive testing.
Solid working knowledge of Python
System-level experience, specifically GPU-based systems
You will also be eligible for equity and .
These jobs might be a good fit