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Project Description: AMD is building a hardware-assisted security platform that uses silicon-level Performance Monitoring Counters (PMCs) and on-chip machine learning to detect advanced endpoint threats (ransomware, fileless malware, cryptojacking) at the processor layer, below OS-based evasion. The platform collects CPU behavioral telemetry, classifies it via an ML inference engine, and exposes threat signals to security-software partners through a standardized API. The team covers the full stack: silicon telemetry, ML training/validation, real-time inference, lab qualification and CI/CD. Responsibilities: Lead the design of the hardware threat detection validation lab, including automation infrastructure, dataset management and safety controls for malware handling. Define and own the lab engineering roadmap, aligning test coverage to product milestones. Architect scalable PMC telemetry collection pipelines across malware variants and multiple Zen-generation platforms. Drive malware dataset expansion strategy across ransomware, cryptomining, fileless malware and exploit categories. Mentor MTS-level lab engineers; conduct technical reviews of test plans, automation code and validation reports. Define feature engineering requirements from raw PMC telemetry with the ML team and validate training-data statistical quality. Establish lab qualification criteria for the kernel-mode PMU driver and certify production readiness. Lead security-software partner technical onboarding in the lab. Mandatory Skills Description: 7+ years of hardware validation, silicon bring-up or security lab engineering experience. Deep understanding of x86-64 CPU microarchitecture and hardware performance monitoring infrastructure. Proven ability to lead technical projects and mentor junior engineers. Strong Python and/or C/C++; experience with large-scale test automation frameworks. Experience with malware behavior analysis, sandbox environments or security telemetry data. Demonstrated track record of owning validation quality metrics end-to-end. (Opportunity for Poland-based candidates) Benefits: 💼 Tax-deductible costs on a contract of employment for all development roles 🔒 Stable employment based on an employment contract 🩺Private Medical & Dental care & Life Insurance 💰 Paid Referrals 🏋🏽 MyBenefit program (sports card, well-being program etc.) 🌎 Internal Mobility program - possibility of rotation between projects, locations, accounts 🎓 LuxTalent platform (webinars, training, courses)
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.