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Checkpoint Software Jobs in Newark, NJ (NOW HIRING)

Getinge

QC Technician II

Wayne, NJ · On-site

$18.50 - $23.75/hr

Serve as the final quality control checkpoint for finished products, exercising accountability for ... Proficiency with Microsoft Office Products or equivalent software applications. Environmental ...

P2P

Senior Director, Security Engineering

Manhattan, NY · On-site

$292 - $365/hr

AI is fundamentally reshaping how we build software and how our tools and systems operate, and this ... formal checkpoint before systems go to production. * Own the vulnerability management program ...

Jobtailor

Project Manager, PMO

Manhattan, NY · On-site

$145 - $165/hr

... all operational checkpoint activities throughout projects lifecycle * Make project related ... Understanding of software development lifecycles (i.e. Agile, SCRUM, Waterfall, Iterative ...

UHY International Ltd.

Tax Manager

New York, NY

$121K - $159K/yr

Software: CCH Prosystem FX, Axcess Tax, Axcess Document, Axcess Workstream, Thomson Reuters Fixed Assets CS, Checkpoint for Tax Research Other duties Please note this is not designed to cover or ...

Getinge

QC Technician II

Wayne, NJ

$18.50 - $23.75/hr

Serve as the final quality control checkpoint for finished products, exercising accountability for ... Proficiency with Microsoft Office Products or equivalent software applications. Environmental ...

UHY International Ltd.

Tax Manager

New York, NY · On-site

$121K - $159K/yr

Software: CCH Prosystem FX, Axcess Tax, Axcess Document, Axcess Workstream, Thomson Reuters Fixed Assets CS, Checkpoint for Tax Research Other duties Please note this is not designed to cover or ...

Ripple

Senior Director, Security Engineering

New York, NY · On-site

$292K - $365K/yr

AI is fundamentally reshaping how we build software and how our tools and systems operate, and this ... formal checkpoint before systems go to production. * Own the vulnerability management program ...

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How much do checkpoint software jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for checkpoint software in Newark, NJ is $64.55, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $72.40 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.

What are popular job titles related to Checkpoint Software jobs in Newark, NJ?

For Checkpoint Software jobs in Newark, NJ, the most frequently searched job titles are:

What job categories do people searching Checkpoint Software jobs in Newark, NJ look for?

The top searched job categories for Checkpoint Software jobs in Newark, NJ are:

What cities near Newark, NJ are hiring for Checkpoint Software jobs?

Cities near Newark, NJ with the most Checkpoint Software job openings:

Checkpoint Software jobs near you

ML Systems Engineer, Infrastructure & Cloud

Basis Research

New York, NY • On-site

$117K - $154K/yr

Full-time

Re-posted 16 days ago

Job description

About Basis
Basis is a nonprofit applied AI research organization with two mutually reinforcing goals.
The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles.
The second is to advance society's ability to solve intractable problems. This means expanding the scale, complexity, and breadth of problems that we can solve today, and even more importantly, accelerating our ability to solve problems in the future.
To achieve these goals, we're building both a new technological foundation that draws inspiration from how humans reason, and a new kind of collaborative organization that puts human values first.
About the Role
ML Systems Engineers at Basis ensure training and evaluation infrastructure is fast, reliable, and scalable. You will own the full stack from distributed training frameworks through cloud administration, making it possible for researchers to iterate quickly on complex models while managing computational resources efficiently.
We are looking for engineers who combine deep understanding of ML systems with operational excellence. The ideal ML Systems Engineer has experience with distributed training at scale, understands the intricacies of debugging numerical instabilities, and can manage cloud infrastructure that scales from experiments to production. You will be the guardian of training stability, the optimizer of compute costs, and the enabler of reproducible research.
This role spans traditional ML engineering and cloud/DevOps responsibilities. You will manage GPU clusters, optimize cloud spending, ensure security and compliance, and build the infrastructure that lets researchers focus on algorithms rather than operations.
We seek individuals who aspire to build robust ML infrastructure, maintain "logbook culture" for documenting issues and solutions, and treat operational excellence as a first-class concern.
We expect you to:
  • Have demonstrated expertise in ML systems engineering. Examples include:
    • Managing distributed training jobs across hundreds of GPUs
    • Debugging and fixing numerical instabilities in large-scale training
    • Building infrastructure for reproducible ML experiments
    • Optimizing training throughput and resource utilization
  • Possess deep knowledge of distributed training frameworks including PyTorch/JAX distributed strategies (DDP, FSDP, ZeRO), gradient accumulation, mixed precision training, and checkpoint/recovery systems.
  • Have strong cloud administration skills including AWS/GCP/Azure services, infrastructure as code (Terraform), Kubernetes orchestration, cost optimization, security best practices, and compliance requirements.
  • Understand the full ML stack from hardware (GPUs, interconnects, storage) through frameworks (PyTorch, JAX) to high-level training loops and evaluation pipelines.
  • Be skilled at debugging complex failures across the stack-GPU/NCCL issues, data loading bottlenecks, memory leaks, gradient explosions, and convergence problems.
  • Value documentation and knowledge sharing. You maintain comprehensive logs of issues encountered, solutions found, and lessons learned, building institutional knowledge.
  • Progress with autonomy while coordinating closely with researchers. You can anticipate infrastructure needs, prevent problems before they occur, and respond quickly when issues arise.

In addition, the following would be an advantage:
  • Experience at organizations training large models (OpenAI, Anthropic, Google, Meta).
  • Background in both ML research and production systems.
  • Contributions to ML frameworks or distributed training libraries.
  • Experience with on-premise GPU cluster management.
  • Knowledge of optimization theory and numerical methods.
  • Understanding of robotics-specific infrastructure requirements.

Responsibilities:
  • Own distributed training infrastructure including job launchers, checkpointing systems, recovery mechanisms, and monitoring that ensures experiments run reliably at scale.
  • Debug and resolve training failures by diagnosing issues across GPUs, networking, numerics, and data pipelines, maintaining detailed logs of problems and solutions.
  • Profile and optimize training performance by identifying bottlenecks in data loading, gradient computation, communication overhead, and implementing solutions that improve step time.
  • Manage cloud infrastructure and costs including capacity planning, spot instance strategies, storage optimization, and building tools that give researchers visibility into resource usage.
  • Implement security and compliance measures including access controls, data encryption, audit logging, and ensuring infrastructure meets requirements for handling sensitive data.
  • Build evaluation and benchmarking infrastructure that enables consistent, reproducible measurement of model performance across different conditions and datasets.
  • Develop monitoring and alerting systems that detect anomalies in training metrics, resource utilization, or system health, enabling rapid response to issues.
  • Maintain development environments including containerization, dependency management, and tools that ensure researchers can reproduce results across different systems.
  • Document and share knowledge through runbooks, post-mortems, and training materials that help the team understand and operate ML infrastructure effectively.
  • Collaborate with researchers to understand requirements, suggest infrastructure solutions, and ensure systems support rather than constrain research goals.
Role Details
Exceptional candidates who may not meet all of the following criteria are still encouraged to apply.
  • FT/PT: Full-time.
  • In-person Policy: We are in the office four days a week. Be prepared to attend multi-day Basis-wide in-person events.
  • Location: New York City or Cambridge, MA.
  • Salary range: Competitive salary.

Non-Discrimination Notice
Basis Research Institute provides equal employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or genetics and prohibits discrimination based on all protected characteristics.
Privacy Notice
By submitting your application, you grant Basis permission to use your materials for both hiring evaluation and recruitment-related research and development purposes. Your information may be processed in different countries, including the US. You retain copyright while providing Basis a license to use these materials for the stated purposes.
Read our full Global Data Privacy Notice here.

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