Global Advisory & Markets, GSET FPGA Engineer, Associate, Sydney

Location: Sydney, NSW, Australia

What We Do

At Goldman Sachs, our Engineers don’t  just make things we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Goldman Sachs Electronic Trading (GSET), is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here. 

 

Divisional Overview

Global Advisory & Markets provides financing, advisory, risk distribution, and hedging services for institutional and corporate clients. Within Global Advisory & Markets, our equities professionals focus on delivering ideas, execution, and liquidity to a wide array of clients trading the entire range of equity products, including physical shares, ETFs, synthetic shares, baskets, options, and other derivatives. Our engineers play important roles in several areas within the division. Some engineers build automated trading platforms and algorithms for the firm and its clients, taking an active part in the increasing shift from voice to electronic trading. Others sit on trading desks, creating cutting-edge derivative pricing models, and developing empirical models to provide insight into market behavior. Still others develop systems and processes that assist with making the entire trade life cycle more seamless.

 

GSET Engineering

Goldman Sachs Electronic Trading (GSET) offers a best-in-class comprehensive suite of trading strategies to help clients achieve their trading objectives and navigate a variety of market conditions leveraging historical analyses, quantitative models, and real-time market information. These strategies are built on a highly distributed, scalable, low latency trading platform, which processes billions of transactions daily in the low microsecond range, with minimal jitter. Our engineers are responsible for designing, building, and maintaining this trading platform as well as the strategies running on the platform, in a collaborative environment. The software our engineers write is of a very high standard: it is client and market facing with real time SLAs and can have high financial and regulatory impact. Some engineers focus on implementing the platform, its surrounding ecosystem and order management workflows, writing highly performant code and optimizing its interaction with the hardware and infrastructure it is executing on. Others work on building the trading models, signals and algorithmic logic which constitute the trading strategies. 

 

Who Are We Looking For

We are looking for strong engineers in the FPGA (Ultra Low Latency Trading) system space. These engineers will design, build, and maintain a high-performance, high-availability, high-capacity, yet nimble and adaptive FPGA platform for trading equities. They will focus on implementing the platform, its surrounding ecosystem and order management workflows, writing highly performant code and optimizing its interaction with the hardware and infrastructure it is executing on. They will adopt a data driven approach to decision making and participate in the full product lifecycle, including requirements gathering, design, implementation, testing, and monitoring execution quality. As part of this effort, they will be expected to collaborate with colleagues across the world including in New York, London, Hong Kong, Tokyo, Singapore, and Stockholm.

 

Basic Qualifications

• Bachelors or Masters degree in computer science or a similar engineering field.
• Extensive experience with SystemVerilog or a similar hardware description language.
• Ability to create testbenches to validate HDL code through simulation with ModelSim experience a plus.
• Strong grasp of computer networks with in-depth understanding of Ethernet and TCP/IP.
• Strong analytical and problem-solving skills.
• Strong communication skills and the ability to work in a team.

 

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. 

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. 

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2024. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

At Goldman Sachs, our Engineers don’t just make things we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.