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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.
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Job Summary
In this role, you will work closely with technical writers, content strategists, and other stakeholders to ensure a seamless and powerful content authoring and publishing experience for our users.
What you'll do
Develop and customize AEM Guides components, templates, and workflows to meet specific documentation and publishing requirements.
Design and implement DITA-OT plugins, specific schematron rules, specific post-processing pipelines in AEM.
Configure and maintain the AEM publishing pipelines using DITA-OT for various output formats (PDF and HTML5) and optimize content in the Java Content Repository (JCR).
Implement and manage content standards and a structured authoring environment, focusing on reuse, metadata, and file structure to improve content consistency across teams.
Integrate AEM Guides with other internal systems and part of the Adobe stack with various APIs and web services.
Configure and maintain AEM instances, including dispatcher configurations, user permissions, OSGi services, and system maintenance.
Develop and implement strategic plans for the content platform that align with the larger Red Hat content vision and roadmap.
Troubleshoot, debug, and optimize AEM performance and resolve technical issues related to content implementation and delivery.
Document technical specifications, architecture, and development processes for knowledge sharing and future reference.
What you'll bring
Proven experience as an AEM Developer, including custom component development and integration
Expertise in AEM architecture and building blocks, including Sling Models, OSGi bundles, custom workflows, templates, and components.
Familiarity with converting structured, topic-based source (in formats such as DITA/XML or AsciiDoc) to HTML and experience applying content architecture concepts like content reuse, metadata, single sourcing content, applying conditional values, and information architecture in a CMS.
Knowledge of creating custom DITA-OT plugins and deploying them in the AEM Guides environment is preferred but not required.
Advanced research and analytical skills for complex problem-solving and troubleshooting cross-functional issues.
Ability to develop and implement strategic technical plans that fit into a larger content vision and roadmap.
Experience with development tools such as Maven, Git, JIRA, Slack, and experience in operating in an Agile/Scrum methodology.
Excellent written and verbal communication skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders.
Experience working in a complex, cross-functional technology organization.
Ability to manage multiple assignments at once and good project management skills.
The salary range for this position is $116,270.00 - $191,840.00. Actual offer will be based on your qualifications.
Pay Transparency
● Comprehensive medical, dental, and vision coverage
● Flexible Spending Account - healthcare and dependent care
● Health Savings Account - high deductible medical plan
● Retirement 401(k) with employer match
● Paid time off and holidays
● Paid parental leave plans for all new parents
● Leave benefits including disability, paid family medical leave, and paid military leave
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What you’ll be doing:
Design and develop user-spaceapplications responsiblefor simulation large scale InfiniBand networks of thousands of network devices
Improve performance and optimize algorithms for using the simulator in Docker and cloud setups
Collaborate with multiple teams in our multi-functional environment on developing new
What we need to see:
B.Sc. in Computer Science or Software Engineering or equivalent experience
4+ years of experience as Software Engineer, including experience with C/C++
Self and quick learning abilities
Ways to stand out from the crowd:
Proficient knowledge in C/C++
Excellent social and written communication skills
Knowledge of network topologies design and routing algorithms
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Perform board bring-up, validation, and debugging activities in the lab
Operate lab equipment such as oscilloscopes, power supplies, logic/spectrum analyzers, and multimeters
Support hardware investigations by reading schematics, analyzing layouts, and completing test procedures
Document test results and communicate findings clearly to engineering teams
Work closely with electrical, mechanical, thermal, and system engineers throughout the development cycle
At least 2 years of hands-on experience in a hardware lab environment
Proven experience with lab equipment and board-level debugging
Ability to understand schematics and PCB layouts
Strong problem-solving skills and teamwork mindset
Good technical English for reading datasheets and writing reports
Experience working with high-speed interfaces (PCIe, Ethernet, SerDes)
Familiarity with thermal/mechanical test setups
Experience with test automation.
Background using bug tracking or PLM tools
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What you'll be doing:
Develop verification infrastructure in Python, tackling complex technical challenges, to ensure the robustness and correctness of DOCA™ Services
Engage in the full software development lifecycle of verification components, from design to implementation, and deployment
Write tests forverifying the functionality and performance of the DOCA platform
Debug and analyze complex system-level issuesto identify root causes and ensure timely resolution
What we need to see:
Bachelor's or Master's degree in Computer Science or Software Engineering
Proven experience of 5+ years as a software engineer, with a focus on building complex software systems
Strong knowledge and practical experience in software design and architecture principles
Proficiency in programming languages such as Python, Java, C++ or similar
Deep understanding of software development methodologies and best practices
Excellent problem-solving skills and the ability to tackle complex technical challenges
Effective communication and collaboration skills, with the ability to work in a team environment
Demonstrated leadership capabilities and the ability to inspire and motivate team members
Track record of delivering high-quality work on time and meeting project deadlines
Ways to stand out from the crowd:
Expert level knowledge in the Python programming language.
Background in Operation Systems, preferably in Linux
Knowledge in one or more of the following Networking areas: Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3 protocols
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What you will be doing:
End-to-end responsibility for major features in user space and kernel applications
Maintain and enhance storage Linux Kernel drivers
Work with partners and customers worldwide
Drive performance tuning, usability improvements, and test automation
What we need to see:
Degree in Computer Science or Electrical Engineering
2-5 years of experience in c/c++ language
Experience in Linux
Self and quick learning abilities
Excellent social and written communication skills
Ways to stand out from the crowd:
Experience in storage or file-system products – Advantage
Experience in RDMA – Advantage
Background in networking and PCI
These jobs might be a good fit

Wake up for this:
These jobs might be a good fit