826 to 850 of 1,269 Low Latency Jobs

pipelines and CI/CD frameworks for continuous model deployment. GenAI Production Deployment: Deploy Large Language Models (LLMs) into production environments, ensuring high availability, low latency, and optimal performance for GenAI applications. FinOps & Budget Management: Establish FinOps frameworks to track, allocate, and forecast AI infrastructure spend, managing high ...

based market access or hybrid deployments. Proven experience in developing and implementing quantitative models andtrading algorithmsStrong programming skills in JavaExperience with high-frequency/low-latency trading systemsExperience working on an FX or Cryptocurrency trading deskExperience in integrating and executing strategies on DeFi platforms (SOL/ETH)Excellent ...

communication skillsExperience in providing mentorship and support to team membersSignificant, professional experience within capital markets, developing software solutions using Java in a highly performant, low latency mannerExperience using Aeron in a high-performance scenario within capital markets or digital assetsFamiliarity with appropriate data structures and their usages (e.g. ...

edge cases and vulnerabilities before they impact operations. Your work will directly safeguard the safety, reliability, and scaling of the Zoox autonomous fleet. Robust, low-latency connectivity is fundamental to autonomous vehicle deployment, powering essential real-time cloud services, fleet management pipelines, and teleoperation capabilities. By ensuring ...

edge cases and vulnerabilities before they impact operations. Your work will directly safeguard the safety, reliability, and scaling of the Zoox autonomous fleet. Robust, low-latency connectivity is fundamental to autonomous vehicle deployment, powering essential real-time cloud services, fleet management pipelines, and teleoperation capabilities. By ensuring ...

pipelines and CI/CD frameworks for continuous model deployment. GenAI Production Deployment: Deploy Large Language Models (LLMs) into production environments, ensuring high availability, low latency, and optimal performance for GenAI applications. FinOps & Budget Management: Establish FinOps frameworks to track, allocate, and forecast AI infrastructure spend, managing high ...

Radar, Camera, GNSS, wheel encoders, etc. - Architect and develop mathematical models to be used in factor graph optimization, Kalman filters, etc. - Develop highly optimized, low-latency Rust code that runs directly on the vehicle's various compute devices in real-time. - Partner with the Perception and Mapping teams ...

Radar, Camera, GNSS, wheel encoders, etc. - Architect and develop mathematical models to be used in factor graph optimization, Kalman filters, etc. - Develop highly optimized, low-latency Rust code that runs directly on the vehicle's various compute devices in real-time. - Partner with the Perception and Mapping teams ...

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 ...

implementation. Firewall DMZ design and implementation. Understanding of different exchange connectivity (e.g. CME, SGX, ICE, Eurex, LME). DMA (Direct Market Access) and low-latency network design/experience is desirable Competencies: Project management skills from inception to delivery Resilient in a challenging, fast-paced environment Strategic collaborator ...

quantum systems. They are key to securing design wins and driving product development. As a Compiler Engineer, you will configure the software libraries and low-level code to run our custom DeltaFlow Hardware which connects to our customers Quantum Control Systems. You will work on creating predictable and stable … low-latency, high throughput systems. You will use your knowledge and expertise to adapt our software to an ever-changing quantum control system to support scientists that are running quantum experiments. This is a fantastic opportunity to join Riverlane's team, that is developing the world's most ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...