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Role Overview We are hiring for a Low Latency Market Making Engineer to design, build, and continuously optimize the systems responsible for quote generation and order execution within microsecond-level latency tolerances. This role sits combines deep knowledge of software engineering, hardware, and market microstructure, and requires close collaboration with traders and quantitative researchers to translate strategy requirements into production systems capable of achieving favorable queue position across trading venues. Responsibilities Design, build, and maintain ultra-low-latency market making systems, including order entry, market data processing, risk controls, and quote and order management functionality Continuously profile and optimize the tick-to-trade path, from network interface through kernel to application, with close attention to CPU cache behavior, memory layout, branch prediction, and lock-free data structures Collaborate with hardware engineers, or develop FPGA logic directly depending on background, to minimize latency in critical-path processing Own exchange connectivity, including implementation and maintenance of FIX, ITCH/OUCH, or proprietary binary protocols for order entry and market data feeds Partner with traders and quantitative researchers to implement and calibrate quoting logic, risk controls, and inventory management in production environments Build and maintain simulation, backtesting, and replay infrastructure to validate strategy and system changes prior to live deployment Monitor live trading systems, diagnose latency regressions and operational anomalies in real time, and lead root-cause resolution efforts Contribute to capacity planning and infrastructure decisions relating to co-location, network topology, and hardware upgrades Uphold rigorous engineering standards, including code review, testing, deployment safety, and change management practices appropriate for systems executing live capital. Requirements Currently pursuing or recently completed a degree in Computer Science, Engineering, Mathematics, Data Science, Economics, Business, or a related field, top-tier university preferred Strong proficiency in C++ (modern C++17/20 preferred), with the ability to reason about assembly output and compiler behavior Thorough understanding of computer architecture, including CPU caches, NUMA, memory ordering, and kernel bypass networking technologies (e.g., Solarflare/OpenOnload, DPDK, or comparable solutions) Experience with low-latency networking and associated protocols (TCP/UDP internals, multicast, kernel bypass) as well as exchange connectivity protocols such as FIX, ITCH, or OUCH Solid understanding of Linux internals, including scheduling, interrupt handling, NUMA pinning, and huge pages, with demonstrated experience tuning production systems at the operating system level Working knowledge of market microstructure, including order books, matching engine behavior, queue position, adverse selection, and inventory risk management practices employed by market makers Experience with FPGA development (Verilog/VHDL) is advantageous, though not a strict requirement for all candidates Demonstrated experience working on systems where microsecond- or nanosecond-level performance was critical, such as high-frequency trading, market making, exchange technology, or comparable latency-sensitive domains (telecommunications, high-performance computing, real-time systems) Strong debugging and profiling capabilities using tools such as perf, VTune, or custom tracing and timestamping infrastructure Strong communication skills and the ability to collaborate effectively with trading personnel under time-sensitive conditions during market hours. Preferred / Desirable Experience Experience building or tuning matching engines or exchange-side systems Exposure to FPGA-based trading systems or programmable networking hardware (e.g., Solarflare, Exablaze, Arista MetaWatch) Prior experience at a market making firm, high-frequency trading firm, or exchange technology vendor.
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.