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Quadeye is a global algorithmic trading firm operating across major financial markets and exchanges. We specialize in designing sophisticated, automated trading strategies powered by deep research, statistical modeling, and cutting-edge technology. Our systems analyze vast datasets in real time and execute trades at extremely low latencies, allowing us to compete successfully in the worlds fastest financial markets. We combine advanced mathematical models with world-class engineering to build trading systems that are scalable, resilient, and exceptionally high-performance. Our flat, meritocratic organizational culture empowers engineers and researchers to take full ownership of their work. Individuals at Quadeye are encouraged to question assumptions, experiment with new ideas, and push the boundaries of performance. With access to world-class infrastructure, mentorship from industry experts, and real-time feedback loops, our teams thrive in solving some of the most challenging problems in quantitative finance. We believe in a culture where curiosity, innovation, autonomy, and technical excellence come together. More importantly, we value worklife balance, collaboration, and team bonding just as much as performance. From global offsites, sports tournaments, team outings, and social gatherings to a fun and energetic office environment, Quadeye fosters a vibrant workplace where people enjoy the work they do and the people they do it with. Requirements We are looking for exceptional engineers to join our Latency Systems Team, a team that builds the technological backbone of Quadeyes trading operations. As part of this team, you will work on optimizing and designing real-time systems that operate at nanosecond-level latency, where every hardware cycle and every CPU instruction matters. You will work at the intersection of operating system internals, networking, hardware architecture, and high-performance software design. This role involves full-cycle ownership: from understanding system requirements, designing solutions, writing efficient code, testing performance, deploying at scale, to monitoring systems in production. Youll collaborate closely with quantitative researchers, traders, system engineers, and infrastructure teams to ensure our systems push the edge of performance and reliability. This internship is ideal for students who enjoy low-level programming, system design, OS internals, and algorithmic optimization. What Youll Work On As an Intern Systems Engineer, your responsibilities include: 1. Real-Time System Development - Design and implement real-time trade execution systems and risk management pipelines - Build software that handles extreme throughput and executes thousands of decisions within microseconds - Ensure that all modules are designed with low-latency, high-reliability constraints 2. Performance Optimization - Identify bottlenecks in critical execution paths - Optimize code to reduce latency and improve throughput using: - CPU profiling - Cache optimization - Memory management optimization - OS-level tuning - Compiler-level optimizations - Make systems faster, leaner, and more predictable under high load 3. End-to-End Ownership - Gather system requirements - Translate them into design documents - Implement features - Write performance-sensitive code - Deploy into production under guidance - Monitor systems using real-time tools 4. Research & Innovation You will research and implement improvements related to: - Operating system kernel - System interrupts, clock sources, CPU affinity - High-performance networking stacks - Kernel bypass technologies - Low-latency system tuning - CPU microarchitecture (caches, pipelines, prefetchers, NUMA) - Optimizing algorithms to run predictably within tight latency budgets - Using cache-efficient, lock-free, or wait-free data structures 5. Monitoring Tools - Build performance monitoring tools that track: - CPU cycles - Network throughput - Memory allocation patterns - System latency metrics - Develop utilities that help diagnose issues and improve system behavior What Were Looking For Education - Pursuing a degree in Computer Science, Computer Engineering, or closely related fields - From premier institutes (IITs / top NITs / top engineering colleges) Technical Skills - Strong fundamentals in - Data Structures - Algorithms - Object-Oriented Programming - Excellent programming skills in C++ or C - Good understanding of Operating Systems, Linux, and system-level concepts - Knowledge of scripting languages (Python/Perl/R) is a plus - Familiarity with low-level debugging and profiling tools is an advantage Soft Skills - Strong problem-solving ability - Curiosity to go deep into system internals - Ability to multitask and work efficiently under pressure - Excellent communication skills - Strong work ethic and willingness to learn rapidly .
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.