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Overnight Malware Reverse Engineer Jobs in California

$151K - $208K/yr

... overnight schedule consisting of four 10-hour shifts from Friday through Monday. Key ... Experience with malware triage or reverse engineering. * Background in consulting, incident ...

Certified Information Systems Security Professional (CISSP) or GIAC Reverse Engineering Malware (GREM) or similar. • Bachelor's degree in a technical field such as computer science, computer ...

Experience performing malware triage or reverse engineering. Background working in consulting, incident response firms, or managed detection and response environments. Industry certifications such as ...

Client Safety Navigator - RRH

Escondido, CA

$20.75 - $27.25/hr

... Optimized Programming) funded program that serves men who have recently been released from ... entire overnight shift, if applicable. Client and Visitor Management: • Maintain client and ...

Client Safety Navigator - RRH

Escondido, CA · On-site

$24.02 - $24.96/hr

  • Retirement

  • PTO

... Optimized Programming) funded program that serves men who have recently been released from ... entire overnight shift, if applicable. Client and Visitor Management: • Maintain client and ...

Showing results 41-50

Overnight Malware Reverse Engineer information

What is the difference between Overnight Malware Reverse Engineer vs Malware Analyst?

AspectOvernight Malware Reverse EngineerMalware Analyst
Primary FocusReverse engineering malware to understand its structure and behaviorAnalyzing malware to identify threats and develop defenses
Skills & CertificationsReverse engineering, assembly language, debugging tools, malware analysis certificationsThreat detection, incident response, malware analysis certifications
Work EnvironmentSecurity teams, cybersecurity firms, often in shifts or overnightSecurity operations centers, cybersecurity teams, regular hours

Overnight Malware Reverse Engineers focus on dissecting malware to uncover its inner workings, often working in shifts. Malware Analysts primarily identify and respond to threats, with a broader scope of threat detection. Both roles require cybersecurity expertise, but the reverse engineer emphasizes technical malware dissection, while analysts focus on threat assessment and mitigation.

What does an overnight malware reverse engineer do?

An Overnight Malware Reverse Engineer analyzes and breaks down malicious software during nighttime or overnight shifts to identify its behavior, functionality, and potential impact on systems. They use specialized tools and techniques to dissect malware code, understand how it operates, and develop strategies for detection and removal. This role is crucial for organizations that require 24/7 cybersecurity monitoring and rapid response to threats that may emerge outside of regular business hours. Their findings help inform security teams and improve overall defense mechanisms against cyberattacks.

What are some unique challenges faced by overnight malware reverse engineers, and how can they effectively manage them?

Overnight Malware Reverse Engineers often encounter the challenge of rapidly analyzing new and sophisticated threats during non-standard hours, which can impact communication with day-shift teams. To manage this, it's important to maintain detailed documentation of findings and utilize secure collaboration tools for seamless handoffs. Additionally, staying alert and focused during overnight shifts can be demanding, so establishing a consistent routine and leveraging scheduled check-ins with colleagues can help maintain productivity and well-being.

What are the key skills and qualifications needed to thrive as an overnight malware reverse engineer, and why are they important?

To thrive as an Overnight Malware Reverse Engineer, you need expertise in computer science, malware analysis, assembly language, and a strong understanding of operating systems, typically supported by a degree in cybersecurity or computer science. Familiarity with tools like IDA Pro, Ghidra, OllyDbg, Wireshark, and relevant certifications such as GIAC Reverse Engineering Malware (GREM) are highly valuable. Strong problem-solving skills, attention to detail, and the ability to work independently are essential soft skills for this role, especially during off-hours. These capabilities are critical for quickly identifying, analyzing, and mitigating malware threats to protect organizational assets around the clock.
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Staff+ Researcher, Cybersecurity Products

Anthropic

San Francisco, CA • On-site

Full-time

Posted 6 days ago


Job description

About the Role

We're looking for a Capabilities Researcher to join the team building Claude Security. In this role, you'll identify which security capabilities in frontier models are ready to build on, measure how well they perform, and work out how to make them useful to customers who are not security experts.

Frontier models have become substantially more capable at security work over recent generations, and they continue to improve with each release. That progress creates a set of practical questions: which capabilities are reliable enough to depend on, how they perform in realistic conditions, how they behave when an adversary is involved, and where their limits are. You'll be responsible for answering those questions through fast prototyping and rigorous evaluation, and your findings will shape what the team decides to build.

You'll also work on making those capabilities usable. Together with engineers on the team, you'll design the scaffolding, tooling, and defaults that let a strong model capability do useful work for a non-expert, and you'll stay involved as it becomes a product.

This is a research role on a product team, with a broad charge and real latitude in what you investigate. It suits someone who already has ideas about what AI should be able to do for security teams and wants the models, the time, and the engineering support to pursue them.

Responsibilities
  • Prototype rapidly to find define the AI frontier for cybersecurity work
  • Design evaluations that measure model performance on the work security teams actually do
  • Build the datasets, harnesses, and scoring those evaluations depend on
  • Engage with the cybersecurity community to help define where AI can make the most impact
  • Work with engineers and researchers to operationalize promising capabilities into something customers can rely on
  • Track how model capabilities for security are changing, and what that means for what we build next
  • Share findings that inform product direction, and partner with product leadership on priorities
You may be a good fit if you:
  • Have deep expertise in one or more security domains, such as vulnerability research, exploit development, reverse engineering, malware analysis, incident response, or offensive security
  • Have built AI-powered tools or capabilities for security work
  • Can get from an idea to a working prototype quickly, and abandon the ones that don't hold up
  • Are comfortable designing rigorous evaluations and interpreting the results honestly
  • Can write and communicate clearly about technical findings
  • Have 7+ years of experience in security research, security engineering, or a closely related field
Strong candidates may also have:
  • Published research, CTF results, CVEs, or open source security tooling
  • Experience with model evaluation, benchmarking, or red teaming
  • Experience building agentic applications
  • Familiarity with the safety considerations of AI in security contexts

Deadline to apply: None. Applications will be reviewed on a rolling basis.