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What you’ll be doing:
Design and develop scalable, cloud-native solutions to accelerate HPC and AI workloads using NVIDIA’s advanced technologies (GPUs, DPUs, ConnectX).
Contribute to NVIDIA’s AI supercomputing platforms
Collaborate with cross-functional teams to deliver new features and improve existing products.
Support, maintain, and document robust software systems.
What we need to see:
BSc in Computer Science or equivalent program.
3+ years of hands-on experience in software development, preferably with Golang/C/C++/Rust.
Proven ability to develop, debug, and maintain complex distributed systems.
Excellent communication skills and the ability to collaborate across teams and geographies.
Self-starter with adaptability and eagerness to learn new technologies.
Ways to stand out from the crowd:
Experience building K8s based solutions/systems.
Background in HPC or AI infrastructure technologies.
These jobs might be a good fit

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About the Role:
is seeking a highly experienced and technicalto optimize and enhance our Salesforce platform. This role is crucial for translating complex business requirements into efficient, scalable technical solutions and maintaining seamless data flow across our integrated applications.
System Design & Process Optimization:
Configuration, Automation, and Customization:
Integration and Data Management:
Quality Assurance (QA) and Support:
Requirements:
If you don’t meet every single requirement, we still encourage you to apply. Your unique experiences, skills, and passion may be exactly what we’re looking for.
*By submitting your application, you agree that Buildots will process your personal data in accordance with .
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Responsibilities:
Responsible for the full sales cycle to the Drivers:
lead conversation; data validation; identifying the driver's needs; suggesting the best package and closing deals by a monthly target.
The role will also include drivers training as a part of the deal closing and quality assurance and initial follow-ups and possible outbound activities.
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Highlights:
What You’ll Do:
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Working Hours:
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As a Customer Experience Representative, you will be our customers' primary point of contact, providing exceptional support.
You will work in a 24/7 customer service center, ensuring seamless support around the clock.
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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
As a Senior Engineer on the Data Classification team, you’ll design and development of scalable solutions that help customers understand and protect their data. You’ll work across the full product lifecycle- design, implementation, testing, and deployment—while collaborating with cross-functional teams to ensure seamless integration. Beyond your own contributions, you’ll raise the bar for those around you, driving innovation, mentoring teammates, and pushing for continuous improvement.
Your Impact
Your Experience
Advantages
We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.
All your information will be kept confidential according to EEO guidelines.
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What you’ll be doing:
Design and develop scalable, cloud-native solutions to accelerate HPC and AI workloads using NVIDIA’s advanced technologies (GPUs, DPUs, ConnectX).
Contribute to NVIDIA’s AI supercomputing platforms
Collaborate with cross-functional teams to deliver new features and improve existing products.
Support, maintain, and document robust software systems.
What we need to see:
BSc in Computer Science or equivalent program.
3+ years of hands-on experience in software development, preferably with Golang/C/C++/Rust.
Proven ability to develop, debug, and maintain complex distributed systems.
Excellent communication skills and the ability to collaborate across teams and geographies.
Self-starter with adaptability and eagerness to learn new technologies.
Ways to stand out from the crowd:
Experience building K8s based solutions/systems.
Background in HPC or AI infrastructure technologies.
These jobs might be a good fit