Jobs at MulticoreWare

Develops and optimizes machine learning, computer vision, and numerical libraries for CPUs, GPUs, DSPs, FPGAs, and other accelerators. Responsibilities include algorithmic optimization, parallelization, vectorization, memory and cache optimization, benchmarking, profiling, performance analysis, customer collaboration, and coordination with software and hardware teams. Requires strong C/C++ and parallel programming experience, hardware architecture knowledge, and familiarity with FPGA development tools and AI/ML frameworks.

Design, develop, and maintain compiler front-end, middle-end, and back-end components. Implement language features, code generation, optimization algorithms, and customer-specific compiler functionality. Collaborate with customers to gather requirements and translate them into technical specifications. Stay current with compiler technologies and programming languages, contribute technical insights, and mentor junior compiler engineers.

Lead the implementation, optimization, and delivery of machine learning, computer vision, and numeric libraries across heterogeneous hardware architectures. Own technical execution, quality, timelines, and customer outcomes while mentoring engineers in low-level optimization, parallel programming, vectorization, profiling, debugging, benchmarking, and performance tuning. Collaborate with customers and stakeholders to identify performance requirements and bottlenecks, make technical decisions, and deliver high-performance software solutions.

Develop, optimize, and deploy GPU-accelerated components for deep learning and high-performance computing workloads. Analyze kernel performance using profiling and benchmarking tools, optimize memory access and throughput, port CPU implementations to GPU platforms, and integrate solutions with software and system architectures. The role requires strong GPU programming, parallel computing, C/C++, Linux, and GPU architecture expertise, with preferred experience in SIMD, neural-network operators, deep learning optimization, and HPC systems.

Develop and optimize deep learning models for efficient inference across CPUs, GPUs, accelerators, and edge devices. Implement quantization algorithms, model compression, and high-performance C++ kernels. Optimize transformer, LLM, MoE, and PEFT workloads for latency, throughput, and memory usage. Profile and benchmark models across hardware platforms, translate research into production solutions, and collaborate with machine learning, compiler, and hardware teams.

Leads the global sales organization, developing sales strategy, forecasting, customer acquisition, enterprise account growth, and market expansion across North America, Europe, and APAC. Owns revenue and bookings targets, negotiates high-value enterprise deals, manages strategic customer relationships, and builds high-performing sales teams. Partners with executive leadership, marketing, product, engineering, and business units on go-to-market initiatives, while ensuring CRM governance, pipeline visibility, sales effectiveness, and operational improvement.

Designs and operationalizes enterprise analytics, KPI frameworks, data validation pipelines, machine learning solutions, and governed GenAI capabilities. Builds advanced SQL and Python data transformations, RAG and agentic AI workflows, evaluation frameworks, and production-ready deliverables. Applies anomaly detection, forecasting, and other advanced analytics techniques while implementing testing, logging, guardrails, deployment packaging, documentation, and security controls.

Leads engineering teams developing frameworks, cloud platforms, and AI/ML enablement solutions. Owns technical roadmaps, software architecture, project delivery, Agile processes, quality practices, CI/CD, release management, and platform reliability. Provides hands-on development, mentors engineers, manages stakeholders and risks, and drives automation, observability, scalability, and continuous improvement.

Supports B2B technology sales by managing customer accounts, identifying and qualifying leads, preparing proposals and presentations, documenting client requirements, researching markets, updating the U Pilot CRM, tracking opportunities, and preparing sales reports. Collaborates with engineering, business units, and senior sales leaders while developing customer communication, relationship-building, and technology sales skills.

Develop embedded software and firmware, including device drivers, using C and C++. Translate customer requirements into robust solutions, apply RTOS and embedded systems concepts, and manage projects from initiation through delivery while collaborating with customers.

The Sales Director develops and executes sales strategies, manages key accounts, drives customer acquisition and revenue growth, and leads complex sales opportunities through negotiation and closure. The role oversees pipeline forecasting, CRM data, business reviews, customer relationships, organizational mapping, and account escalations. It collaborates with business units and senior executives to create solution materials, improve bookings, and support international enterprise sales across technology-focused industries.

Build production-grade full-stack AI products and agentic workflows using LLMs, memory, RAG, external tools, and real-time streaming. Design systems that plan, execute, recover from failures, maintain context, and provide reliable user experiences. Improve observability, fallback behavior, and evaluation processes while collaborating with ML, backend, product, and design teams to ship features from concept through production.