Uniphore, USA - CA - Palo Alto
Uniphore is building an enterprise AI pla4orm where agents operate across voice, video, text, and structured data in real time. We are looking for a Senior or Staff Inference Engineer to own the inference layer — combining deep model inference expertise with systems engineering to deliver a context-aware runtime serving finetuned SLMs across cloud, on-premises, and widely used GPU platforms.
This is a hands-on individual contributor role working closely with Uniphore’s research, model engineering, knowledge systems, agent, and pla4orm teams.
Context-aware runtime: Integrate context selection, compression, conversation compaction, and persistent task state with model execution. Adapt context budgets, model selection, and reasoning effort to each task.
KV-cache and computation optimization: Build paged KV-cache and prompt-prefix-cache management, cache-aware routing, retention, eviction, and offloading. Preserve correctness as context, permissions, model versions, and adapters change.
Inference performance: Implement and tune speculative decoding, attention kernels, continuous batching, quantization, chunked prefill, and multi-GPU parallel execution.
SLM and adapter lifecycle: Build model and adapter lifecycle management, multi-adapter serving, zero-downtime hot swapping, and resource scheduling.
Production reliability: Implement observability (DCGM, Prometheus, Grafana), tenant isolation, overload protection, failure recovery, and safe rollout and rollback.
Cross-environment deployment: Build portable runtime integrations across NVIDIA and AMD GPU pla4orms, cloud and on-premises environments, and single- or multi-GPU configurations.
Technical Expertise
Model inference internals: Autoregressive generation, prefill vs. decoding, attention architectures, compute- vs. memory-bound execution, numerical precision.
Speculative decoding: Draft-and-verify execution, acceptance/rejection sampling, adaptive speculation, and throughput tradeoffs.
GPU kernels: Flash attention-style kernels, tiling, operator fusion, memory access patterns.
CUDA, HIP, Triton, or CUTLASS proficiency.
KV and prefix caching: Paged KV storage, fragmentation, cache quantization, offloading, cross request prefix reuse, tenant isolation.
Context-window management: Token budgeting, context selection, prompt compression, conversation compaction, sliding window and sparse attention.
Serving and scaling: Continuous batching, chunked prefill, admission control, quantization, multi-GPU parallelism, prefill/decode disaggregation.
$175,000 - $218,700
For more information on how Uniphore uses AI to unify—and humanize—every enterprise experience, please visit www.uniphore.com.
In addition to competitive base pay, this position also includes an annual incentive opportunity based on target achievement, pre-IPO stock options, benefits including medical, dental, vision, 401(k) with a match, and more, plus generous paid time off, paid holidays, paid day off for your birthday and other paid leave policies to support employees through all phases of life.
Uniphore is the Business AI company. Our sovereign, composable and secure AI platform connects enterprise data, fine-tunes AI models and deploys agentic AI across the enterprise. We empower every worker to boost productivity and help businesses grow faster, operate smarter and reduce costs. Trusted by more than 2,000 businesses globally, and recognized on the Deloitte Fast 500, Uniphore delivers on the promise of AI as a transformative force for business.
Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
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Source: the Uniphore Workday careers site. We last checked this job 16 min ago. We first saw it 16 h ago. A job on a job board does not always mean that the team interviews people now.
This base pay is below the median for staff inference and ML systems jobs in the Bay Area.
We compare the middle of each posted range. This is base pay as posted. The group does not include this job.
