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POSITION SUMMARY:
a skilled and motivatedLab Engineerto support the Spokane Product Development Lab. This role plays a critical part in enabling both production systems and flexible testing environments for our Test and Product Development teams. You willbe responsible forsetting up, configuring, and
PRIMARY RESPONSIBILITIES:
Set up, configure, document, andmaintainLinux and Windows systems, network devices, and virtualization platforms in the lab.
network cabling, rack setup, and physical infrastructure planning.
Configure and managenetworking components, including VLANs, routing, switching, andfirewallrules.
Deploy and managevirtualization technologiessuch asVMware, OpenStack, KVM, and XCP-ng
Maintain andoptimizestorage systemsused in lab environments.
Perform regularaudits of configuration and inventory datato ensure accuracy and compliance.
Create andmaintainscripts and toolsto automate lab configuration, provisioning, and usability.
Troubleshoot and resolvelab and network outages, hardware failures, and system performance issues.
Helpdesk ticketsfrom lab users ina timelyand professional manner.
IT and Facilities
Participate in thedesign, monitoring, and improvementof lab services and infrastructure.
Ensure properdocumentationof lab systems, configurations, and operational procedures.
Own and manageend-to-end lab operations, ensuring high availability, scalability, and security of lab environments.
Perform Regular audits of labs – Server racks Power, Stock Maintenance in lab.
Perform other related duties as assigned.
SKILLSAND ABILITIES:
Strong experience in Linux and Windows systems administration.
Hands-on experience with enterprise networking: switch configuration, VLANs, routing protocols, andfirewallrules.
Experience with storage technologies and capacity planning.
Scripting and automation skills using Python, Bash, or similar languages.
Understanding of web technologies including HTTP, HTML, and JavaScript.
Solid grasp of IP networking fundamentals: L2, L3, and L4–L7 protocols.
Ability to troubleshoot hardware and software issues independently.
Experience with lab infrastructure planning, including cabling, power, and cooling.
in virtualization platforms: VMware, OpenStack, KVM, XCP-ng.
Experience with Infoblox for IP address management and DNS/DHCP services.
Familiarity with Network Configuration Manager (NCM) for device configuration backups.
Exposure to switching authentication protocols (802.1X, RADIUS, TACACS).
Experience in datacenterenvironments (production or dev/lab).
QUALIFICATIONS:
Bachelor’s degree in computer science, Engineering, or related field (or equivalent work experience)
-7+ years of experience in enterprise network environments& Physical Lab Understanding
-5+ years of experience with virtualization platforms
Ability to work independently and collaboratively in a team environment.
Experience with python or other scripting is a plus
Strong problem-solving, decision-making, and communication skills
Ability to quickly learn and adoptnew technologies
PHYSICAL DEMANDS AND WORK ENVIRONMENT:
Duties may require occasional work outside normal hours (evenings/weekends).
Work performed in a lab or office environment with regular use of computers and lab equipment.
May involve physical tasks such as racking hardware, cabling, and lifting equipment.
Should be available in on-prem lab location for any Hands-on requirements for Product Development Teams
The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.
The annual base pay for this position is: $96,000.00 - $144,000.00These jobs might be a good fit

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What You'll be Doing:
Build system hardware products around GPU & Tegra SoC.
Collaborate with cross-function team to pursue the balance of product cost, performance, and schedule under the guidance of system architects and product architects.
Drive initial test and bringup, lead the debug efforts.
Create schematic, supervise PCB layout and system validation.
Handle documentation required to release the product to manufactures and partners.
Optimize/invent circuits, functions for better performance, and lower cost.
Improve the design flow together with the infrastructure team.
What We Need to See:
Recent graduate with a B.S or M.S. in Electrical Engineering or equivalent experience.
Have strong analytical skills including past experience in PCB design and review.
Experience with using lab tools such as oscilloscopes, multimeters, and logic analyzers.
Possess a nurtured knowledge of Linux, and be very comfortable working in various Linux environments as well as with Windows OS’s
Strong verbal and written skills.
You will also be eligible for equity and .

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What you'll be doing:
Work with architects, designers, and performance engineers to develop an energy-efficient GPU.
Identify key design features and workloads for building Machine Learning based unit power/energy models.
Develop and own methodologies and workflows to train models using ML and/or statistical techniques.
Improve the accuracy of trained models by using different model representations, objective functions, and learning algorithms.
Develop methodologies to estimate data movement power/energy accurately.
Correlate the predicted energy from models built at different stages of the design cycle, with the goal of bridging early estimates to silicon.
Work with performance infrastructure teams to integrate power/energy models into their platforms to enable combined reporting of performance and power for various workloads.
Develop tools to debug energy inefficiencies observed in various workloads run on silicon, RTL, and architectural simulators. Identify and suggest solutions to fix the energy inefficiencies.
Prototype new architectural features, build an energy model for those new features, and analyze the system impact.
Identify, suggest, and/or participate in studies for improving GPU perf/watt.
What we need to see:
Pursuing or recently completed a MS or PhD in Electrical Engineering, Computer Engineering, Computer Scienceor equivalent experience.
Strong coding skills, preferably in Python, C++.
Background in machine learning, AI, and/or statistical modeling.
Background in computer architecture and interest in energy-efficient GPU designs.
Familiarity with Verilog and ASIC design principles is a plus.
Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities.
Basic understanding of fundamental concepts of energy consumption, estimation, and low power design.
Desire to bring quantitative decision-making and analytics to improve the energy efficiency of our products.
Good verbal/written communication and interpersonal skills.
You will also be eligible for equity and .

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What you'll be doing:
You will be contributing to power estimation models and tools for GPU products and systems like NVIDIA DGX.
Early GPU & System Architecture exploration with focus on energy efficiency and TCO improvements at GPU and Datacenter level.
You will help with Performance vs Power Analysis for NVIDIA future product lineup.
Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs, CPUs, Switches, and platforms.
Understand the workload characteristics for GenAI/HPC workloads at Datacenter Scale (multi-GPU) to drive new HW/SW features for Perf@Watt improvements.
Modeling & analysis of cutting-edge technologies like high speed & high-density interconnects.
What we need to see:
Pursuing a MSEE/MSCE, or equivalent experience related to Power / Performance estimation and optimization techniques.
Knowledge of energy efficient chip design fundamentals and related tradeoffs.
Familiarity with low power design techniques such as multi-VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS).
Understanding of processors (GPU is a plus), system-SW architectures, and their performance/power modeling techniques.
Proficiency with Python and data analysis packages like: Pandas, NumPy, PyTorch.
Familiarity with performance monitors/simulators used in modern processor architectures.
You will also be eligible for equity and .

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What you’ll be doing:
Building and integrating tools to configure, simulate, and test robots
Maintain and optimize the existing simulation stack for scalable robot and sensor simulation
Integrate APIs to support large scale simulator deployments on distributed systems
Develop microservices, using ZMQ, DDS, RPC, RESTful and other network level communication APIs
What we need to see:
Pursuing or recently completed BS, MS, PhD (or equivalent experience) in Computer Science, Simulation, or related field
Experience in systems software engineering
Excellent C, C++, and Python programming skills
Flexibility to adapt quickly to varying roles & responsibilities
Experience with physics simulation, robotics or motion planning & controls
Excellent interpersonal skills and ability to work optimally with multi-functional teams, principles, and architects across organizational boundaries and geographies
Ways to stand out from the crowd:
Experience with Isaac Sim, Omniverse, USD, MJCF, URDF, CAD formats
Background with physical robots, reinforcement learning, synthetic data generation
Experience with UI/UX for user and developer facing tools
Background with shipping and supporting software products
Experience with system level optimization using multi-threading, asynchronous programming, concurrency and parallelism
You will also be eligible for equity and .

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, designing for
experience to build ground-breaking CPUs. As a senior member of our design team, you willbe responsible forand implementation of high-performance, low power CPU. You will work closely withdesign engineers,verification engineers, and physical design engineers toyour tasks.
doing:
Drive the micro-architecture definition, feasibility studies and documentation of CPU sub-systems.
Implement in RTL and coordinate execution with the verification team to ensure that the design is functional.
Exercise logic design skills to optimize and meet performance, timing and power targets.
Deliver a synthesis/timing clean design while working with the physical design team ensuring a routable and physically implementable design.
Support hardware engineering activities including chip floor plan, power/clock distribution, chip assembly, timing closure, power and noise analysis, and back-end verification.
Develop flows and tools as necessary in support of design activities.
see:
BS or MS in electrical engineering or computer engineering (or equivalent experience).
Exposure to Computer Architecture and Digital Systems design.
Proficient in logic design, Verilog and/or SystemVerilog, with a deep understanding of physical design and VLSI.
Strengths in scripting languages such as Perl, Python.
Good communication and interpersonal skills.
You will also be eligible for equity and .

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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:
Flywire is seeking a motivated and strategically minded
Relationship Manager (RM) to join our team and support our existing portfolio of education clients.
As a trusted partner, the Relationship Manager will work closely with client stakeholders to understand their goals, drive adoption of Flywire solutions, and deliver exceptional service. This role is critical in building long-term, value-driven relationships that increase utilization, uncover new opportunities, and ultimately drive retention and revenue growth.
Key Responsibilities
Here's What We're Looking For:
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/presentation. 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

POSITION SUMMARY:
a skilled and motivatedLab Engineerto support the Spokane Product Development Lab. This role plays a critical part in enabling both production systems and flexible testing environments for our Test and Product Development teams. You willbe responsible forsetting up, configuring, and
PRIMARY RESPONSIBILITIES:
Set up, configure, document, andmaintainLinux and Windows systems, network devices, and virtualization platforms in the lab.
network cabling, rack setup, and physical infrastructure planning.
Configure and managenetworking components, including VLANs, routing, switching, andfirewallrules.
Deploy and managevirtualization technologiessuch asVMware, OpenStack, KVM, and XCP-ng
Maintain andoptimizestorage systemsused in lab environments.
Perform regularaudits of configuration and inventory datato ensure accuracy and compliance.
Create andmaintainscripts and toolsto automate lab configuration, provisioning, and usability.
Troubleshoot and resolvelab and network outages, hardware failures, and system performance issues.
Helpdesk ticketsfrom lab users ina timelyand professional manner.
IT and Facilities
Participate in thedesign, monitoring, and improvementof lab services and infrastructure.
Ensure properdocumentationof lab systems, configurations, and operational procedures.
Own and manageend-to-end lab operations, ensuring high availability, scalability, and security of lab environments.
Perform Regular audits of labs – Server racks Power, Stock Maintenance in lab.
Perform other related duties as assigned.
SKILLSAND ABILITIES:
Strong experience in Linux and Windows systems administration.
Hands-on experience with enterprise networking: switch configuration, VLANs, routing protocols, andfirewallrules.
Experience with storage technologies and capacity planning.
Scripting and automation skills using Python, Bash, or similar languages.
Understanding of web technologies including HTTP, HTML, and JavaScript.
Solid grasp of IP networking fundamentals: L2, L3, and L4–L7 protocols.
Ability to troubleshoot hardware and software issues independently.
Experience with lab infrastructure planning, including cabling, power, and cooling.
in virtualization platforms: VMware, OpenStack, KVM, XCP-ng.
Experience with Infoblox for IP address management and DNS/DHCP services.
Familiarity with Network Configuration Manager (NCM) for device configuration backups.
Exposure to switching authentication protocols (802.1X, RADIUS, TACACS).
Experience in datacenterenvironments (production or dev/lab).
QUALIFICATIONS:
Bachelor’s degree in computer science, Engineering, or related field (or equivalent work experience)
-7+ years of experience in enterprise network environments& Physical Lab Understanding
-5+ years of experience with virtualization platforms
Ability to work independently and collaboratively in a team environment.
Experience with python or other scripting is a plus
Strong problem-solving, decision-making, and communication skills
Ability to quickly learn and adoptnew technologies
PHYSICAL DEMANDS AND WORK ENVIRONMENT:
Duties may require occasional work outside normal hours (evenings/weekends).
Work performed in a lab or office environment with regular use of computers and lab equipment.
May involve physical tasks such as racking hardware, cabling, and lifting equipment.
Should be available in on-prem lab location for any Hands-on requirements for Product Development Teams
The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.
The annual base pay for this position is: $96,000.00 - $144,000.00These jobs might be a good fit