Software Developer at Quantiq
Austin, TX
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Jul 31, 2026
Austin, TX
Sep 24, 2026
What this job asks for AI summary
A software developer role at a high-frequency derivatives trading firm, focused on building and tuning low-latency, high-performance applications at both the system and application levels. Day-to-day work involves writing C++ and Python code with careful attention to memory management, CPU affinity, concurrency, and hardware interactions, as well as profiling and debugging legacy and new systems to maximize throughput and minimize latency.
Senior level · 5+ years
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 1, 2026. It is a model, not a headcount.
Why we read it this way (5)
No work location is specified in the posting; CBSA and state fields are left blank. The role may be on-site at an undisclosed office given the firm's high-frequency trading context, but remote status cannot be confirmed.
C++ and Python are listed together throughout the posting with 'and/or' framing — the role clearly requires strong proficiency in at least one, with both being the stated ideal. They are captured as a paired required skill with each as the other's alternative.
Low-latency programming, memory optimization, and concurrency are concrete technical disciplines explicitly required in the qualifications; they are retained as named skills despite being methodology-adjacent because the posting treats them as specific, gateable competencies in this domain.
Network protocols, packet analysis, CPU affinity, and performance profiling appear in the qualifications or responsibilities sections but with softer framing ('familiarity with', narrative context) and are marked preferred accordingly.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): memory optimization, packet analysis.
Read the full posting
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