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C++ Engineer (Computer Vision/Embedded Systems) Description - Job Summary The C++ Engineer (Computer Vision/Embedded Systems) will help build and maintain a cross-platform computer vision stack used in embedded and Android/Linux environments. In this roll you will work on performance-sensitive code, building systems, testing infrastructure, and developing tooling in a containerized workflow. Responsibilities: Design, implement, and maintain production C++ features in vision/AI pipelines and supporting services. Build and debug across Linux and Android targets using CMake and related toolchains. Integrate with existing modules (service utilities, test frameworks, third-party dependencies). Improve reliability and developer productivity through automated builds, tests, and container-based workflows. Diagnose and fix defects in performance, memory usage, and system integration. Collaborate with ML, QA, and platform teams to deliver validated releases. Education & Experience Recommended Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated knowledge. 8+ years of professional C++ development experience (modern C++ preferred). Knowledge & Skills: Strong fundamentals in memory management, multithreading/concurrency, STL, and object-oriented design. Hands-on experience with CMake-based build systems in medium/large codebases. Experience developing on Linux; comfortable with shell scripting and debugging tools (gdb, valgrind, or similar). Familiarity with Android native development workflows (NDK/tooling) or willingness to ramp quickly. Experience writing and maintaining unit/integration tests. Ability to read and improve legacy code while delivering incremental, production-safe changes. Preferred Skills: Experience with performance profiling/optimization on constrained devices. Familiarity with containerized development (Docker) and reproducible build environments. Exposure to cross-platform CI/CD and release validation. Python scripting experience for tooling, test automation, or data processing. Experience with networked/enterprise development environments (shared storage, remote build systems). Experience in computer vision, image processing, or edge ML inference. Disclaimer This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Salary The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Not Specified Relocation - Yes Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.