Jobs · himalayas
Sr. Principal Software Engineer
Halcyon Labs · United States · Posted 14d ago
About the role
Optimize and deploy high-performance AI inference pipelines for automotive applications.
A Moving Experience. Who is Halcyon Labs AI? Halcyon Labs AI is the global leader in AI for transportation, specialized in building AI and voice-powered companions for cars, two-wheelers, and more that enable people to focus on what matters most. With over 500 million cars shipped with Halcyon Labs AI's technology, we partner with leading automakers (such as Volkswagen, Mercedes, Audi, Toyota and many more), mobility providers, and technology companies to power intuitive, integrated experiences that create safer, more connected, and more enjoyable journeys for drivers and passengers alike. Our Driving Force Our team is dedicated to pushing the boundaries of AI innovation, working around the globe with headquarters in Burlington, Massachusetts, USA and 16 other offices across Europe, Asia, and North America. We bring together diverse backgrounds, and varied skill sets with the shared goal of advancing the next generation of transportation user experiences. Our culture is customer-centric, collaborative, fast-paced, and fun, with continuous opportunities for learning and development to support your career growth. Interested in having a significant impact in a dynamic industry with a high-performing global team? We’re looking for an exceptional SeniorPrincipalSoftware Engineer who is ready to drive the future of mobility with us! Job Description: What You Will Work On Optimize and deploy high ‑ performance LLM inference pipelines Own inference runtimes across data center, edge, and embedded platforms Push model performance through quantization, kernel fusion, and cache optimization Drive latency and throughput improvements that directly impact production products Enable efficient, reliable deployment without external vendor dependency Core Responsibilities Inference Engines & Runtime Build deep expertise and ownership of: vLLM TensorRT‑LLM llama.cpp QAIRT Extend and tune inference engines using custom CUDA kernels Adapt runtimes for constrained and embedded deployment environments Quantization & NumericalOptimisation Implement and evaluatequantisationstrategies: INT8, INT4, FP4, FP8, mixed precision AWQ GPTQ Balance accuracy, latency, memory footprint, and throughput KV Cache Optimization Optimize key–value cache performance through: Paging Prefix caching Cache‑aware memory layout design Reduce memory pressure while sustaining high throughput Latency & Throughput Optimisation Design and tune: Batching strategies Continuous batching Speculative decoding Optimize tail latency and tokens/sec under real production traffic patterns What Success Looks Like Models deploy efficiently on edge and embedded devices, not just servers Tokens/sec significantly outperform baseline implementations End‑to‑end latency is minimized and predictable Inference cost per request is materially reduced The company is no longer dependent on partners for inference optimization Required Experience & Skills Strongly Required Proven experience optimizing ML inference performance in production Deep understanding of GPU architecture and memory hierarchies Hands‑on experience with CUDA and low‑level performance tuning Experience deploying models beyond research environments Critical Technical Skills Inference engines: vLLM, TensorRT‑LLM, llama.cpp, QAIRT CUDA kernel development and profiling Quantisationtechniques: INT8/INT4/FP4/FP8, AWQ, GPTQ KV cacheoptimisationand memory layout design Latencyoptimisation: batching, speculative decoding, continuous batching Common Problems You’ll Be Solving Deploy efficiently on edge or embedded targets Achieve competitive tokens/sec Reduce and stabilize inference latency You will be responsible for closing these gaps, creating a major competitive advantage. What we offer We offer a generous compensation and benefits package (in addition to the base salary), including: Salary range $185,000.00 USD - $280,000.00 USD It is not typical for offers to be made at or near the top of the range. The actual salary will be determined based on experience and other job-related factors. Annual bonus opportunity Insurance coverage (medical, dental, vision, life, and disability) Paid time off Paid holidays Company contribution to the RRSP (Registered Retirement Savings Plan) Equity awards for certain positions and levels Remote and/or hybrid work available depending on the position All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable, and may be amended, terminated, or replaced from time to time. Halcyon Labs Inc. (Nasdaq: CRNC and www.cerence.com ) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Halcyon Labs is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world’s leading automakers – from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC – to transform how a car feels, responds and learns. I
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FAQ
Is the Sr. Principal Software Engineer role at Halcyon Labs remote?+
This Sr. Principal Software Engineer position is listed as remote (United States).
What is the salary for the Sr. Principal Software Engineer role at Halcyon Labs?+
The listing states Estimated 93k-215k USD.
What seniority level is this Sr. Principal Software Engineer role?+
This is a senior level position.
How do I apply for the Sr. Principal Software Engineer role at Halcyon Labs?+
Use the "Apply on himalayas" button to open the original posting on himalayas, where you can submit your application directly to Halcyon Labs.