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Checkpoint Software Jobs (NOW HIRING)

Nvidia

Senior Software Engineer, AI Resiliency

Redmond, WA · On-site

$137K - $180K/yr

Implement and optimize software features that improve AI system reliability at a massive scale, such as fast checkpoint-recovery, error detection, error isolation, and straggler/hang detection.

Procom Consultants Group

Network Engineer

Durham, NC

Checkpoint, Cisco and Juniper Multi-Services Platforms * Create process documentation * Current on network security trends, applications/software/issues * Evaluate and Implement customer move, add ...

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$15

$61

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How much do checkpoint software jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for checkpoint software in the United States is $61.73, according to ZipRecruiter salary data. Most workers in this role earn between $52.40 and $69.23 per hour, depending on experience, location, and employer.

What is a Check Point software engineer?

A Checkpoint Software Engineer is a professional who specializes in working with Check Point Software Technologies, a leading provider of cybersecurity solutions such as firewalls, VPNs, and network security platforms. Their primary responsibilities include implementing, configuring, and maintaining Check Point security products to protect organizations from cyber threats. They may also provide support, troubleshoot issues, and optimize security settings. These engineers often hold certifications like Check Point Certified Security Administrator (CCSA) or Check Point Certified Security Expert (CCSE). Their expertise is crucial for safeguarding networks and ensuring compliance with security policies.

What are the key skills and qualifications needed to thrive as a Check Point software engineer?

To thrive as a Check Point Software Engineer, you need a solid background in computer science, cybersecurity principles, and network protocols, typically supported by a relevant degree. Familiarity with Check Point security products, firewall configuration, and certifications like CCSA or CCSE are commonly required. Strong problem-solving, attention to detail, and effective communication skills help engineers diagnose issues and collaborate with teams. These abilities ensure the delivery of robust security solutions and protect organizational networks from evolving threats.

How does a typical day look for someone working in a technical support role at Check Point Software?

A typical day in a technical support role at Checkpoint Software involves troubleshooting security appliance issues, responding to customer inquiries via phone or email, and collaborating with engineering teams to resolve complex cases. You'll often analyze logs, replicate customer environments, and provide detailed solutions or escalation when needed. Expect to work in a fast-paced, team-oriented environment with frequent opportunities to learn about the latest cybersecurity technologies and best practices.

What is the difference between Checkpoint Software vs Firewall Engineer?

AspectCheckpoint SoftwareFirewall Engineer
CertificationsCheckpoint certifications (e.g., CCSA, CCSE)CCNA Security, CISSP, or vendor-specific certifications
Work EnvironmentCybersecurity, network security, software configurationNetwork security, firewall setup, troubleshooting
Industry UsageSecurity product development, enterprise security solutionsImplementing and managing firewalls in various organizations

Checkpoint Software is a cybersecurity company specializing in security software and solutions, while a Firewall Engineer focuses on configuring and managing firewalls within networks. Both roles require security certifications and involve network security tasks, but Checkpoint Software professionals often work with specific products, whereas Firewall Engineers handle broader firewall deployment and maintenance across different platforms.

What does Checkpoint Software do?

Checkpoint Software is a cybersecurity company that develops and provides security solutions such as firewalls, intrusion prevention systems, and endpoint security. Jobs at Checkpoint often involve configuring, managing, and supporting these security tools to protect organizations from cyber threats.
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Checkpoint Software jobs near you
Infographic showing various Checkpoint Software job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $128,400 per year, or $61.7 per hour.

Senior Software Engineer, AI Resiliency

Nvidia

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Re-posted 20 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

We are now looking for a Senior Software Engineer for AI Resiliency!

At NVIDIA, we are pushing the boundaries of what's possible in AI. We are currently seeking a Senior Software Engineer to lead the development of AI software resiliency for the most powerful AI supercomputers in the world. As a member of our AI Software Resiliency team, you will play a pivotal role in defining and implementing critical resiliency features for AI supercomputers at a scale of 100,000+ GPUs. Your expertise will be crucial in driving down cluster downtime towards zero, ensuring that our AI systems remain robust and reliable at all times.

What You'll Be Doing:

  • Develop AI Software Resiliency Features: Implement and optimize software features that improve AI system reliability at a massive scale, such as fast checkpoint-recovery, error detection, error isolation, and straggler/hang detection.

  • Hands-On Coding & Optimization: Contribute to large-scale distributed systems with high-quality, production-level C++ and Python code. Enhance performance for AI workloads running on thousands of GPUs.

  • Fault Tolerance & Debugging: Work on AI system error handling, implementing techniques to detect silent data corruption (SDC) and other failure scenarios. Assist in developing monitoring tools for proactive failure mitigation.

  • Collaborate Across Teams: Work closely with senior engineers, AI researchers, and hardware/software teams to integrate resiliency features into AI frameworks like PyTorch and JAX/XLA.

  • Testing & Automation: Develop and implement tests to ensure robustness, scalability, and efficiency of resiliency mechanisms. Contribute to CI/CD pipelines to automate validation of AI workloads.

  • Support Production Deployments: Assist in debugging and performance tuning large-scale AI workloads in cloud and HPC environments, ensuring seamless operation of AI training and inference workloads.

What We Need to See:

  • You've achieved a Bachelor's, Master's or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent experience.

  • Proficiency in C++ and Python, with experience in writing efficient, high-performance code.

  • 6+ years of relevant experience

  • Strong understanding of distributed systems concepts, parallel programming, and fault tolerance in large-scale computing environments.

  • Familiarity with AI frameworks such as PyTorch, JAX/XLA, TensorFlow, or similar.

  • Experience with debugging and profiling tools (e.g., gdb, perf, valgrind, NVIDIA Nsight).

  • Excellent problem-solving skills and ability to work in a fast-paced, highly collaborative environment.

Ways to Stand Out From the Crowd:

  • Hands-on experience in training models or working with model training teams.

  • Hands-on experience with CUDA, NCCL, or MPI for GPU-accelerated computing, especially at extreme-scale.

  • Knowledge of checkpointing strategies, error mitigation, or fault-tolerant computing in AI training.

  • Experience working with large-scale AI clusters, HPC environments, or cloud-based AI workloads.

  • Strong systems programming skills and experience with low-level performance tuning.

As part of the AI Resiliency team at NVIDIA, you'll work alongside world-class engineers solving some of the hardest challenges in AI infrastructure. You'll have the opportunity to contribute directly to making AI training and inference more reliable, scalable, and efficient. If you're passionate about AI, distributed systems, and high-performance computing, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 16, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

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Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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