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Malware Reverse Engineer Jobs in San Jose, CA (NOW HIRING)

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Malware Reverse Engineer information

See San Jose, CA salary details

$96.1K

$159.7K

$228.5K

How much do malware reverse engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for malware reverse engineer in San Jose, CA is $159,725.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,300.00 and $208,600.00 per year, depending on experience, location, and employer.

What does a malware reverse engineer do?

A Malware Reverse Engineer analyzes malicious software to understand its functionality, origin, and potential impact. They use tools like debuggers, disassemblers, and virtual environments to deconstruct malware and identify vulnerabilities or attack patterns. Their work helps in developing security defenses, creating detection signatures, and improving incident response. This role requires strong knowledge of programming, operating systems, and cybersecurity principles.

What are the key skills and qualifications needed to thrive as a malware reverse engineer?

To thrive as a Malware Reverse Engineer, you need strong expertise in reverse engineering, assembly language, and programming, often backed by a degree in computer science or cybersecurity and experience with malware analysis. Familiarity with tools such as IDA Pro, Ghidra, OllyDbg, and relevant certifications like GREM or OSCP is highly valued. Analytical thinking, meticulous attention to detail, and clear written communication are important soft skills in this field. These skills ensure accurate identification, dissection, and documentation of malicious code, supporting effective threat response and mitigation.

What are some typical challenges faced by malware reverse engineers in their daily work?

Malware Reverse Engineers frequently encounter highly complex or obfuscated malware designed to resist analysis, which can make the process both time-consuming and mentally demanding. Staying ahead of constantly evolving attack techniques requires ongoing learning and adaptability. The role often involves collaborating with incident response teams, threat intelligence analysts, and security researchers to provide clear, actionable insights on emerging threats. Successfully overcoming these challenges is critical for protecting organizational assets and staying current with the ever-changing cybersecurity landscape.

Can you reverse engineer malware?

A malware reverse engineer analyzes malicious software to understand its behavior, techniques, and purpose. This process involves using specialized tools like disassemblers and debuggers and requires strong knowledge of programming, assembly language, and cybersecurity principles.

How much do malware reverse engineers make?

Malware reverse engineers typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior professionals with specialized skills in reverse engineering tools and techniques can earn higher salaries, especially in cybersecurity-focused roles or with certifications like GREM or OSCP.

What are the most commonly searched types of Malware Reverse Engineer jobs in San Jose, CA?

The most popular types of Malware Reverse Engineer jobs in San Jose, CA are:

What are popular job titles related to Malware Reverse Engineer jobs in San Jose, CA?

For Malware Reverse Engineer jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Malware Reverse Engineer jobs in San Jose, CA look for?

The top searched job categories for Malware Reverse Engineer jobs in San Jose, CA are:

Malware Reverse Engineer jobs near you
Infographic showing various Malware Reverse Engineer job openings in San Jose, CA as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $159,725 per year, or $76.8 per hour.

Staff+ Researcher, Cybersecurity Products

Anthropic

San Francisco, CA • On-site

Full-time

Re-posted yesterday

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.

Apply