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1–2 jobs· newest first

Data Center LLM Optimization Customer EngineerNew
Qualcomm · Shanghai, China
On-site
MAC Agent Engineer
Quest Global · Pune, India

+10K new in the last hour

Data Center LLM Optimization Customer Engineer

Qualcomm · Posted Nov 9, 2026

Shanghai, China
On-site
4+ years

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AI

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Lead LLM inference optimization for Qualcomm Cloud AI accelerators, working with customers and internal teams to deploy and tune generative AI workloads.

Responsibilities

Deploy and optimize LLM and multimodal inference workloads on Qualcomm Cloud AI accelerator platforms
Profile and optimize prefill and decode performance metrics
Analyze model architecture and runtime bottlenecks across compute, accelerator memory, host memory, KV cache, interconnect, networking, and software stack
Optimize model execution using quantization, batching, continuous/dynamic batching, KV-cache management, paged attention, prompt/context-length tuning, and speculative decoding
Optimize distributed inference across tensor, pipeline, data, context, and expert parallelism

Requirements

Master’s degree or higher in Computer Science, Electrical/Computer Engineering, AI/ML, or related technical field
Nice to have: vLLM
Nice to have: TensorRT-LLM
Nice to have: SGLang
Nice to have: Hugging Face Transformers

Skills

Python Bash PyTorch Docker Kubernetes Linux Scripting Automation Performance Engineering Distributed AI Quantization Batching Memory Optimization Kernel/Runtime Tuning Graph/Compiler Optimization Debugging Profiling Tracing System Telemetry Collective Communication AllReduce AllGather ReduceScatter AllToAll Topology-aware Workload Placement Network Bandwidth/Latency Communication-Compute Overlap Scaling Efficiency vLLM TensorRT-LLM SGLang Hugging Face Transformers DeepSpeed MLPerf

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MAC Agent Engineer

Quest Global · Posted Nov 1, 2026

Pune, Maharashtra, India

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Design, develop and maintain macOS background agents for endpoint telemetry, device monitoring and cloud-connected services.

Responsibilities

Design, develop and maintain macOS background agents for endpoint telemetry, device monitoring and cloud-connected services.
Collect CPU, memory, storage, battery, network and application-health telemetry using supported interfaces, respecting permissions, privacy and consent.
Implement sampling, aggregation and enrollment, on demand, real time and batch delivery, including persistent state, offline buffering and duplicate prevention.
Maintain secure cloud connectivity and IPC between privileged services and user applications; support configuration, feature flags and agent lifecycle workflows.
Debug performance, stability and resource-consumption issues; develop automated tests covering sleep/wake, reboot, network interruption, denied permissions and upgrades.

Requirements

Nice to have: AWS IoT Core
Nice to have: MQTT
Nice to have: Kinesis
Nice to have: S3
Nice to have: cloud telemetry services

Skills

Swift Objective-C C++Objective-C++macOS architecture launchd LaunchDaemons LaunchAgents permissions entitlements privilege separation Unix-domain socket IPC XPC GCD queues synchronization multithreading

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system telemetry

reliable delivery

schema migrations

versioned data contracts

Keychain Services

Unified Logging

integration testing

Intel compatibility

macOS-version differences

hardened runtime

.pkg installers

secure self-update

release automation

Swift Package Manager

Protocol Buffers