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Selby Jennings

C++ / Rust Systems Engineer (Ultra-Performance Systems)

London
Posted about 12 hours ago
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We are working with a highly technical, fast-growing engineering team building latency-critical, high-throughput systems in a competitive and fast-moving environment. This is a greenfield opportunity within a small, elite team where engineers take full ownership of systems from design through to production.

The Role

You will design, build, and optimise high-performance systems where efficiency, scalability, and reliability are critical. The work is deeply technical and spans the full stack, from low-level systems and networking through to algorithmic performance and optimisation.

This is an environment where strong reasoning and problem-solving ability are just as important as systems experience. You will be expected to tackle ambiguous problems, make architectural decisions, and iterate quickly.

Key Responsibilities

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

  • Design and develop high-performance, low-latency systems in C++ or Rust
  • Optimise systems for throughput, latency, and scalability
  • Work across the full lifecycle: architecture, implementation, testing, and production deployment
  • Analyse and improve system performance through profiling and benchmarking
  • Solve complex, non-obvious technical problems in a fast-paced environment
  • Collaborate in a small, high-calibre team with significant ownership and impact

Requirements

  • 3+ years' experience building high-performance production systems
  • Strong proficiency in C++ or Rust (or willingness to transition to Rust)
  • Deep understanding of systems concepts (memory, concurrency, networking, hardware interaction)
  • Proven track record working on latency-sensitive or high-throughput systems
  • Strong problem-solving ability and capacity to reason through complex, novel scenarios
  • High ownership mindset with the ability to operate in an ambiguous, fast-changing environment

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Preferred Background

  • Experience in high-performance domains such as trading systems, distributed systems, or large-scale infrastructure
  • Background in competitive programming, advanced simulations, or complex algorithmic problem-solving
  • Strong academic background in Computer Science, Mathematics, Physics, or a related field

Why This Role

  • Greenfield environment with significant influence over system design and direction
  • Small, high-performing team with strong technical standards
  • Fast iteration cycles and immediate impact of your work
  • Opportunity to take full ownership of critical systems

Apply Now!

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Skills

C++
Rust
Low-latency Systems
High-throughput Systems
Systems Programming
Concurrency
Networking
Memory Management
Profiling
Benchmarking
Algorithm Optimization
Distributed Systems
Hardware Interaction
System Architecture
Scalability
Problem Solving

Location

London, England, United Kingdom

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