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Staff Software Engineer - Virtual Machine

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Azul Systems

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Location:
Czech Republic, Prague

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

As a Staff Software Engineer, you will be a technical leader who designs, implements, and optimizes core VM subsystems—runtime, JIT/AOT compilation, memory management, scheduling, and OS/hardware interfaces. You will set architecture direction, mentor engineers, and collaborate cross‑functionally to ship production‑grade features that move key performance and latency metrics.

Job Responsibility:

  • Lead the design and architecture of core VM components (runtime services, JIT/AOT compiler pipelines, GC, thread scheduling, synchronization primitives)
  • Own end‑to‑end delivery of complex features from ideation and design reviews to implementation and benchmarking
  • Profile and optimize latency‑critical paths across runtime, compiler, OS, and hardware boundaries (NUMA, caches, micro‑architecture, syscall/IO paths)
  • Establish technical standards and code quality practices
  • drive design documents, RFCs, and engineering reviews
  • Collaborate with performance engineering to define and hit SLOs for tail latency, throughput, footprint, and startup/warm‑up
  • Advance observability in the VM (metrics, tracing, perf counters) to diagnose GC pauses, compilation stalls, safepoints, and contention
  • Mentor and coach engineers
  • cultivate a culture of rigorous design, empirical validation, and respectful collaboration
  • Contribute to roadmap planning, risk management, and release criteria
  • communicate trade‑offs to stakeholders

Requirements:

  • 10+ years of systems‑level software development with deep expertise in C and C++ (performance, memory safety, concurrency)
  • Strong knowledge of virtual machine internals: runtime services, class/method metadata, bytecode/IR pipelines, safepoints, deoptimization, inline caches
  • Familiarity with compilers (JIT and/or AOT): IR design, code generation, register allocation, inlining, tiering, and optimization passes
  • Solid understanding of operating systems (Linux preferred): processes/threads, scheduling, memory management (NUMA, huge pages), filesystems, networking
  • Working knowledge of computer architecture and hardware performance: caches, TLB, branch prediction, SIMD, PMU/perf tooling
  • Proven ability to design clean, scalable architectures and write high‑quality design docs
  • expertise in API/ABI boundaries and componentization
  • Comfort with performance analysis tools: perf, eBPF, VTune, flame graphs, micro‑benchmarks
  • methodical approach to measurement and regression control
  • Excellent problem‑solving and debugging skills for complex, concurrent systems
  • Clear communication, cross‑team collaboration, and ability to lead technical initiatives

Nice to have:

  • Experience with managed runtimes (e.g., JVM, CLR, LuaJIT, WebAssembly engines) or building custom VMs
  • Knowledge of modern GC strategies (region/mark‑copy, concurrent, pauseless techniques) and memory allocators
  • Background in low‑latency systems for trading, telco, gaming, or real‑time analytics
  • Experience with tiered compilation, profile‑guided optimization (PGO), AOT caches, and startup/warm‑up optimization
  • Exposure to kernel development, drivers, or firmware
  • familiarity with RT kernels or scheduler tuning
  • Contributions to open‑source compiler/runtime projects or published performance work
What we offer:
  • Equity Program - be part of the company success
  • Annual bonus based on company performance
  • Referral Program - bring your colleague we would all love to work with
  • IT Equipment - MacBook Pro or any other HW according to your preferences
  • Work-life balance - 5 weeks of holidays, 5 sick days, flexible working hours, 100% work from home also possible
  • Offices in Prague City Centre - if you prefer
  • Most importantly you will work with top experts worldwide who contribute to the Java ecosystem

Additional Information:

Job Posted:
December 06, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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