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Apprentice Software Reverse Engineer Jobs in Fremont, CA

CENTRL

Software Engineer

Mountain View, CA · On-site

We are looking for a Software Engineer to join our Engineering team. This contract has a 6 month ... benefits, training, and apprenticeship. CENTRL makes hiring decisions based solely on ...

CENTRL

Software Engineer

Mountain View, CA · On-site

We are looking for a Software Engineer to join our Engineering team. This contract has a 6 month ... benefits, training, and apprenticeship. CENTRL makes hiring decisions based solely on ...

CENTRL

Software Engineer

Mountain View, CA · On-site +1

We are looking for a Software Engineer to join our Engineering team. This contract has a 6 month ... benefits, training, and apprenticeship. CENTRL makes hiring decisions based solely on ...

CENTRL

Software Engineer (Remote)

Mountain View, CA · Remote

We are looking for a Software Engineer to join our Engineering team. This contract has a 6 month ... benefits, training, and apprenticeship. CENTRL makes hiring decisions based solely on ...

De Circle

Odos - Integrations

San Francisco, CA · On-site +1

$122K - $164K/yr

You'll reverse-engineer smart contract systems, map new AMM logic into our routing framework, extend our Python indexers, and occasionally add Solidity cases to our on-chain executors. As we expand ...

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All JobsApprentice Software Reverse Engineer JobsApprentice Software Reverse Engineer Jobs in Fremont, CA

Apprentice Software Reverse Engineer information

See Fremont, CA salary details

$15

$20

$26

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

As of Jun 10, 2026, the average hourly pay for apprentice software reverse engineer in Fremont, CA is $20.13, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $23.94 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.

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.

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.
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Apprentice Software Reverse Engineer jobs near you
DevOps / GPU Stack Build Architect

DevOps / GPU Stack Build Architect

Advanced Micro Devices, Inc

San Jose, CA • On-site

$210K/yr

Full-time

Posted 5 days ago

Advanced Micro Devices rating

8.4

Company rating: 8.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

23rd of 139 rated electronics manufacturers

Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
AMD's AI software stack is moving fast - and keeping pace means shipping complete, validated GPU stack releases to customers as quickly as the software can evolve. Today, that release velocity is limited by the coordination overhead between the layers of the stack: firmware, kernel driver, and ROCm each have their own build systems, their own workflows, and no shared baseline. Every release requires manual effort to assemble and validate a coherent recipe across all three.
We're building the infrastructure to change that - a unified build platform that treats firmware, kernel, and ROCm as a single deliverable, built from source, validated together, and releasable on demand. The result: customers get supported, compatible GPU stack recipes faster, and AMD can respond to customer needs without the drag of disconnected build and release processes.
This is a greenfield architecture role. You'll be making foundational decisions during the proof-of-concept phase, with 1,000+ developers and 65+ firmware components as the eventual scope. If you want to design a build system from scratch - and you reach for an AI coding agent before a bash script - this role was written for you.
What You'll Do
  • Make foundational build system architecture decisions - the super-build is greenfield. You'll determine how 65+ firmware components, the kernel driver, and ROCm are structured, how dependencies are expressed and resolved, and how the system scales as more components onboard. These decisions matter and they're yours to make.
  • Lead firmware recipe migration using AI-assisted workflows - the existing firmware builds are scattered across multiple CI systems with no single source of truth. You'll reverse-engineer what exists, understand the dependencies, and convert those recipes into the unified build - using agentic AI coding tools to move at a pace that would otherwise take years. Strong opinions about package management and host dependency handling are a real advantage here.
  • Build repo automation that keeps the super-repo sane - with 65+ component repos feeding into a unified system, manual dependency updates don't scale. You'll map the full repo landscape, design the submodule/manifest architecture, and build the automation that keeps versions in sync without constant human intervention.
  • Unblock new team members from day one - the tiger team is actively growing and new engineers are blocked until they have a working dev environment. You'll stand up replicable, documented machine setups that solve the network access, firewall, and cloud quota constraints so onboarding stops being a bottleneck.

What We're Looking For
Required:
  • 10+ years of software engineering experience with deep focus on build systems
  • Strong hands-on coding ability - this is an IC lead role, not a managing-from-above role
  • Expert-level knowledge of build tools (cmake, ninja, Bazel, or equivalent) and build system design at scale
  • Experience with packaging, host dependency management, and toolchain configuration
  • Track record of modernizing or architecting a build system used by 100+ developers
  • Strong understanding of version control and dependency management at scale (git submodules, manifest-driven workflows, etc.)

Strong Plus:
  • Fluency with agentic AI workflows (Cursor, Claude, Copilot, etc.) as a force multiplier for engineering throughput
  • Experience with firmware or kernel build systems (embedded firmware, Linux kernel, or similar)
  • Familiarity with GitHub Actions and CI/CD pipeline design
  • Experience building in or migrating to cloud-hosted runner environments (AWS)

Why This Role
  • Sharpen your agentic AI engineering skills - the scope of this work (65+ firmware components, greenfield architecture, 1,000+ eventual users) means you'll be using AI coding agents as a core part of your workflow every day, not occasionally. Reverse-engineering build recipes, generating dependency graphs, scaffolding build configurations - this is exactly the kind of high-volume, pattern-rich work where agentic AI makes the difference between a months-long slog and a fast, iterative build. You'll leave with a depth of experience in AI-assisted engineering that's hard to get anywhere else.
  • Greenfield scope - you're making foundational architectural decisions during the PoC phase, not inheriting and patching someone else's system
  • Customer-facing impact - the build platform you design directly determines how quickly AMD can ship complete, validated GPU stack releases
  • Latest hardware - you'll work alongside the teams building AMD's next-generation GPU stack
  • Open-source aligned - this work follows the same shift-left, trunk-health principles driving AMD's ROCm open-source direction

#LI-G11
#LI-HYBRID
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.

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