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Apprentice Software Reverse Engineer Jobs in Santa Clara, CA

You will also lead software analysis projects to better understand supply chain threats to critical ... Experience mitigating anti-reverse engineering techniques. * Advanced knowledge of state-of-the-art ...

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You will also lead software analysis projects to better understand supply chain threats to critical ... Experience mitigating anti-reverse engineering techniques. * Advanced knowledge of state-of-the-art ...

You will also lead software analysis projects to better understand supply chain threats to critical ... Experience mitigating anti-reverse engineering techniques. * Advanced knowledge of state-of-the-art ...

VMS Software Engineer

San Jose, CA · On-site

$142K - $220K/yr

You aren't afraid to reverse-engineer a protocol or write a custom driver if the standard one fails ... Design software with a safety-first mindset. You anticipate edge cases and write defensive code ...

VMS Software Engineer

San Jose, CA · On-site

$142K - $220K/yr

You aren't afraid to reverse-engineer a protocol or write a custom driver if the standard one fails ... Design software with a safety-first mindset. You anticipate edge cases and write defensive code ...

Performs software design and implementation of vehicle interface software and protocols ... Understands and implements methodologies for reverse engineering of vehicle communication protocols ...

FPGA Engineer

San Jose, CA · On-site

$152K - $195K/yr

Hardware/Software Design: Work closely with other engineers to integrate FPGA designs with ... reverse engineering techniques - Experience with hardware acceleration techniques for ...

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Apprentice Software Reverse Engineer information

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How much do apprentice software reverse engineer jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for apprentice software reverse engineer in Santa Clara, CA is $21.60, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $25.67 per hour, depending on experience, location, and employer.

What is the difference between Apprentice Software Reverse Engineer vs Junior Software Developer?

AspectApprentice Software Reverse EngineerJunior Software Developer
Required CredentialsBasic programming knowledge, understanding of reverse engineering toolsDegree in Computer Science or related field, coding skills
Work EnvironmentSecurity firms, cybersecurity teams, software companiesSoftware development teams, tech companies, startups
Employer & Industry UsageCybersecurity, software security analysisGeneral software development
Common Search & ComparisonOften compared for entry-level cybersecurity rolesCompared for entry-level programming roles

The Apprentice Software Reverse Engineer typically focuses on analyzing and understanding software through reverse engineering techniques, often in cybersecurity contexts. In contrast, a Junior Software Developer primarily writes, tests, and maintains software code. While both roles may require programming skills, the reverse engineer emphasizes security analysis and disassembly, whereas the developer concentrates on software creation. Understanding these differences helps job seekers identify roles aligned with their skills and career goals.

Is it possible to Reverse Engineer software?

A reverse engineer in software development analyzes and deconstructs software to understand its components and functionality, often using tools like disassemblers and debuggers. This process is legal when done for purposes such as security testing or interoperability, but reverse engineering for malicious intent may violate laws or licensing agreements.

What engineer makes $500,000 a year?

Highly experienced software engineers, especially those in specialized fields like machine learning, AI, or cybersecurity, can earn $500,000 or more annually. Such salaries often include base pay, bonuses, stock options, and other incentives, typically found in senior or executive-level roles at large tech companies or startups. Achieving this level usually requires advanced skills, extensive experience, and often leadership responsibilities.

What does an Apprentice Software Reverse Engineer do?

An Apprentice Software Reverse Engineer assists in analyzing software applications to understand their structure, functionality, and behavior, often by deconstructing compiled code. They learn to use specialized tools and techniques to examine binaries, debug programs, and identify vulnerabilities or intellectual property. This role is typically entry-level and combines hands-on learning with mentorship from experienced engineers. Apprentices often work on real-world projects under supervision, gradually building expertise in reverse engineering and cybersecurity.

How much does a software engineer apprentice make?

A software engineer apprentice typically earns between $15 and $25 per hour, depending on the company, location, and level of experience. Apprenticeships often include training in coding, debugging, and using development tools, with compensation varying accordingly.

What is the salary of a Reverse Engineer in software engineering?

The salary of a reverse engineer in software engineering typically ranges from $70,000 to $130,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with specialized skills in debugging, malware analysis, or security tools can earn higher salaries.

What are the key skills and qualifications needed to thrive as an Apprentice Software Reverse Engineer, and why are they important?

To thrive as an Apprentice Software Reverse Engineer, you need a solid understanding of programming languages, computer architecture, and low-level operating system concepts, often supported by a degree or coursework in computer science or cybersecurity. Familiarity with tools such as IDA Pro, Ghidra, debuggers, and hex editors, as well as knowledge of assembly language, is typically required. Strong analytical thinking, attention to detail, and persistence are crucial soft skills that set outstanding candidates apart. These competencies are vital for dissecting software, identifying vulnerabilities, and producing accurate technical analyses in a challenging, detail-oriented field.

What types of projects or tasks can an Apprentice Software Reverse Engineer expect to work on during the initial months?

As an Apprentice Software Reverse Engineer, you’ll typically start by assisting with basic analysis of software binaries, documentation of findings, and learning how to safely use reverse engineering tools under supervision. Early tasks often include disassembling code, identifying software vulnerabilities, and supporting more senior engineers in decompiling or debugging software. You’ll also participate in team meetings to discuss findings and collaborate with cybersecurity professionals or developers to understand software behavior and security implications. This hands-on exposure helps build your technical foundation and prepares you for more advanced independent analysis as you progress.
What are the most commonly searched types of Software Reverse Engineer jobs in Santa Clara, CA? The most popular types of Software Reverse Engineer jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Apprentice Software Reverse Engineer jobs? Cities near Santa Clara, CA with the most Apprentice Software Reverse Engineer job openings:
Senior Cybersecurity Reverse Engineer

Senior Cybersecurity Reverse Engineer

LLNL

Livermore, CA • On-site

Full-time

Retirement

Posted 7 days ago

New


Job description

Company Description

Join us and make YOUR mark on the World!

Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. 

Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.

Job Description

We have an opening for a Senior Cybersecurity Reverse Engineer to lead efforts to analyze malware and identify vulnerabilities to software supporting critical infrastructure systems and Federal networks. You will help to shape research and development efforts to secure software and firmware used in systems critical to our national security, including industrial control systems, in partnership with the Federal government, manufacturers, and asset owners and operators. You will also lead software analysis projects to better understand supply chain threats to critical systems and networks. These positions are programmatically in Global Security's Energy and Homeland Security (E) Program and administratively in the Global Security Computing Applications Division (GS-CAD) within the Computing Directorate.

This position will be filled at either level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level.

You will

  • Lead and support a range of complex research projects requiring creative use of innovative methods for development and implementation of new, automated software analysis methods.
  • Analyze novel software, firmware, and malware using existing reversing tools; develop repeatable workflows applying those tools to support future analyses; and write reports to deliver analyses to sponsors.
  • Analyze source code and binaries to identify weaknesses or malicious functionality in software and firmware.
  • Develop new tools for source code and binary analysis, as well as vulnerability assessment, for devices residing in United States critical networks and infrastructure.
  • Develop tools and techniques to better understand and mitigate threats to operational technology such as industrial control system malware.
  • Identify new applications and opportunities for and help create vision and technical direction for software assurance capabilities for critical networks and infrastructure cybersecurity working with LLNL's program leadership.
  • Develop new program growth opportunities through research proposal development and identifying needs for existing and potential sponsors.
  • Mentor others and utilize technical expertise to attract and retain projects, programs and funding.
  • Perform other duties as assigned.

Additional job responsibilities, at the SES.4 level 

  • Guide and provide scientific and technical direction for a portfolio of highly complex technical tasks and projects that consistently require the application of creativity and innovation; set broad research/project vision and strategy and influence technical direction for Laboratory, self and/or others wielding extensive influence with senior management and policy makers.
  • Provide highly innovative solutions to abstract complex problems/ideas, convert them into useable algorithms/software modules, and provide solutions that require in-depth analysis of multiple factors and the creative use of established methods.
  • Lead strategic planning initiatives, direct and accomplish project/program goals and objectives significantly impacting major Laboratory programs, set high-level goals, and contribute to the revolutionary advancement of knowledge.
Qualifications
  • Ability to maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
  • Bachelor's degree with significant focus in cybersecurity, computer science, information technology, computer engineering, or related technical field or equivalent combination of education and related experience and significant experience and demonstrated ability to lead independent work.
  • Significant experience leading program analysis of source code, binaries, and firmware.
  • Experience in the use of hardware or software debuggers, static disassemblers and decompilers (such as IDA Pro), common binary file formats, dynamic analysis tools, software bills of materials, and/or network analysis tools.
  • Significant experience communicating technical information across multi-disciplinary teams and to non-cyber experts or senior management, while applying interpersonal skills to collaborate effectively in a team environment.
  • Experience mitigating anti-reverse engineering techniques.
  • Advanced knowledge of state-of-the-art technologies in software assurance.
  • Advanced analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems.
  • Advanced ability to effectively manage concurrent technical tasks with competing priorities, along with the demonstrated ability to approach difficult problems with enthusiasm and creativity and to effectively change focus when necessary.
  • Advanced ability to communicate comprehensive knowledge effectively across multi-disciplinary teams and to non-cyber experts, and advise senior management and/or external sponsors, and proficient interpersonal skills necessary to effectively collaborate and lead in a team environment.

Additional qualifications at the SES.4

  • Extensive experience and ability to plan the integration and implementation of new programs and/or operational best practices.
  • Extensive project leadership experience and ability to apply, lead and develop cutting-edge principles and research, working independently while effectively managing concurrent technical tasks with competing priorities.
  • Substantial experience creating technical direction and vision, writing research proposals, and securing sponsor funding.
  • Extensive experience in and knowledge of at least one of the following subject areas:
    • Instruction set architectures, such as ARM, x86/x64, PowerPC, and/or MIPS;
    • Reverse engineering intermediate languages such as .NET or Java bytecode;
    • Firmware analysis and extraction; or
    • Operational technology implementation.

Qualifications We Desire

  • Master's degree with significant focus in cybersecurity, computer science, information technology, computer engineering, or a related technical field.
  • Knowledge of one or more of the following computer science disciplines: embedded systems, scientific data analysis, machine learning, systems programming, software engineering, formal verification methods, and high-performance computing.
  • Experience with industrial control systems software and hardware.
  • Ability to secure sponsor funding through winning proposals and sponsor relationships. Previous experience working Department of Energy, Department of Homeland Security, Department of Defense, a utility, manufacturing, or hardware/software company, or a cybersecurity firm.

Pay Range

$175,530 - $267,060 Annually

$175,530 - $222,564 Annually for the SES.3 level

$210,630 - $267,060 Annually for the SES.4 level

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage.  An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.

Additional Information

#LI-Hybrid

Position Information

This is a Flexible Term appointment, which is for a definite period not to exceed six years.  If final candidate is a Career Indefinite employee, Career Indefinite status may be maintained (should funding allow).

Why Lawrence Livermore National Laboratory?

  • Included in 2026 Best Places to Work by Glassdoor!
  • Flexible Benefits Package
  • 401(k)
  • Relocation Assistance
  • Education Reimbursement Program
  • Flexible schedules (*depending on project needs)
  • Our values - visit https://www.llnl.gov/inclusion/our-values

Security Clearance

This position requires a Department of Energy (DOE) Q-level clearance.  If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing.  Q-level clearance requires U.S. citizenship. 

Pre-Employment Drug Test

External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

Wireless and Medical Devices

Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession.  This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.  

If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas.  Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.

How to identify fake job advertisements

Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under "Find Your Job" of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.

To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf

Equal Employment Opportunity

We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.

Reasonable Accommodation

Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory.  If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. 

California Privacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.