Optilic

Build what careful looks like.

Optilic sits at the intersection of markets, AI and real-time systems, a proprietary trading desk and a clinical-AI research arm held to the same standard of proof. Whether the code prices risk or drafts a clinical note, the bar is identical: measured, tested, trusted. We're hiring across disciplines.

Design and execute systematic trading strategies across equities, derivatives and digital assets. You'll work directly with quantitative researchers and engineers to take signals from idea to live capital, owning P&L from day one.

what you'll do

  • Develop, backtest and deploy systematic trading strategies across multiple asset classes
  • Manage live portfolio risk and execution, optimising for alpha after costs
  • Collaborate with quantitative researchers to identify new signal sources and refine existing models
  • Build and maintain real-time dashboards for position monitoring and risk attribution
  • Contribute to the design of execution algorithms and market microstructure research

what we're looking for

  • Degree in mathematics, physics, computer science, engineering or a quantitative discipline
  • Demonstrated track record in systematic or quantitative trading (personal or professional)
  • Strong programming skills, Python is the baseline; C++ or Rust is a plus
  • Deep understanding of probability, statistics and stochastic processes
  • Experience with order book dynamics, market microstructure or derivatives pricing
  • Comfort with ambiguity: we value independent thinkers who ship, not people who wait for specs

apply, quantitative trader

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No NDA-protected details, we want to understand how you think, not steal your alpha.

Build the infrastructure that quantitative strategies run on, from research tooling and backtesting frameworks to production execution systems. You sit between the traders and the market, making sure ideas become reality at the lowest possible latency and the highest possible reliability.

what you'll do

  • Design and build low-latency execution and order management systems
  • Develop backtesting frameworks that produce results you can trust in production
  • Build and maintain data pipelines for market data ingestion, normalisation and storage
  • Implement quantitative models in production-grade code (Python, C++ or Rust)
  • Collaborate with researchers and traders to translate prototypes into performant, reliable systems
  • Monitor and improve system performance, latency, throughput and correctness

what we're looking for

  • Degree in computer science, mathematics, physics or engineering
  • Strong systems programming skills, at least one of: C++, Rust, or very deep Python
  • Experience with financial data, exchange connectivity or trading system architecture
  • Understanding of probability, linear algebra and numerical methods
  • Track record of building systems that run reliably in production, not just prototypes
  • Familiarity with Linux, networking (TCP/UDP), and performance profiling tools

apply, quantitative engineer

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Build software that clinicians trust with their patients' data. You'll work across the stack, from on-device audio processing and real-time transcription to cloud-side note drafting, clinical safety gates, and the desktop application clinicians interact with. The codebase is young; you'll shape its architecture, not inherit someone else's.

what you'll do

  • Design and build the edge application, Tauri (Rust shell), Python engine, real-time audio pipeline
  • Develop and maintain clinical safety gates and compliance-critical invariants
  • Build APIs and cloud services on AWS (Bedrock, FastAPI, serverless)
  • Write tests that prove constraints hold, not just that the happy path works
  • Own features end-to-end: from design through implementation to monitoring in production
  • Contribute to security architecture, data residency, audit trails, privacy controls

what we're looking for

  • Strong fundamentals: data structures, systems design, networking, concurrency
  • Proficiency in Python; experience with Rust, TypeScript or C++ is a plus
  • Experience building desktop applications, real-time systems, or clinical/regulated software
  • Understanding of security principles, threat modelling, least privilege, audit logging
  • Comfort with ML inference pipelines (you don't need to train models, but you ship them)
  • The instinct to write the test before believing the code works

apply, software engineer

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Design the hardware that sits in the operatory. Our edge device processes audio and imagery inside the practice, it never phones home with the recording. You'll own the electrical design of that device: from power delivery and thermal management to the sensor interfaces, compute module integration and EMC compliance that make clinical-grade hardware real.

what you'll do

  • Design PCB schematics and layouts for the edge compute device, power, signal integrity, thermals
  • Select and integrate microphone arrays, image sensors and compute modules (GPU/NPU SoMs)
  • Design power systems, USB-C PD, battery management, low-noise analogue supply for audio
  • Develop firmware for sensor interfaces, boot sequencing and hardware self-test
  • Drive EMC pre-compliance and work with test houses for regulatory certification (AS/NZS, IEC)
  • Collaborate with mechanical engineering on enclosure thermals, connector placement and DFM

what we're looking for

  • Degree in electrical or electronic engineering
  • Experience designing mixed-signal PCBs, at least one design taken through to manufacture
  • Familiarity with embedded compute platforms (Jetson, Raspberry Pi CM, Qualcomm RB-series or similar)
  • Understanding of audio signal chain design, MEMS microphones, ADCs, low-noise pre-amps
  • Proficiency with schematic capture and layout tools (Altium, KiCad or similar)
  • Experience with or willingness to learn EMC compliance for clinical or consumer electronics
  • Comfortable with C/C++ for firmware; Python for test scripts

apply, electrical engineer

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Design the physical product that lives in a dental operatory. The edge device has to disappear into the clinical environment, quiet, cleanable, thermally managed, and unobtrusively mounted where it has line-of-sight to the patient and clinician. You'll own the industrial design, enclosure engineering, thermal solution and manufacturing path.

what you'll do

  • Design the enclosure for the edge device, injection-moulded or CNC'd, IP-rated, clinic-friendly
  • Develop the thermal management system, passive or active cooling for embedded GPU compute
  • Create mounting solutions for operatory integration (arm-mount, ceiling, or bracket-based)
  • Work with EE on connector placement, acoustic porting for microphone arrays, and cable routing
  • Drive DFM (design for manufacture) and work with contract manufacturers on tooling and prototyping
  • Design for cleanability, surfaces, materials and seams that meet infection control standards
  • Manage prototyping through 3D printing, CNC and short-run moulding

what we're looking for

  • Degree in mechanical engineering, industrial design engineering or product design
  • Experience designing enclosures for electronics, at least one product taken through to tooling
  • Proficiency in 3D CAD, SolidWorks, Fusion 360 or similar
  • Understanding of thermal management for compact electronics (CFD simulation experience is a plus)
  • Familiarity with plastics, machining and manufacturing processes (injection moulding, CNC, 3D print)
  • Experience with or interest in medical-device or clinical-environment design standards
  • A portfolio that shows products you've designed, not just parts

apply, mechanical engineer

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PDF, 25 MB max, or link to it below

Most firms make first-years wait. We don't. If you are in your first year of engineering, computer science, commerce or mathematics and you are unusually good, we want you at a desk now, on real problems, with a mentor who reads your work line by line.

what the program looks like

  • Paid internship over the summer or winter break, in the Sydney office
  • A real project that ships, not shadow work: a backtest, a tool, a measurement
  • One mentor from the desk, weekly reviews of your actual output
  • Rotation across trading, research and engineering so you see the whole loop
  • Strong interns get a return offer for the following year

who should apply

  • First-year students in engineering, computer science, commerce or mathematics
  • Evidence you build or solve things without being asked: competitions, projects, proofs
  • Comfort with being wrong in public and fixing it fast

apply, first-year internship

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Don't see your role? We're always interested in exceptional people. Write to operations@optilic.com with your résumé and a note about what you'd build here.