20 publicaciones de empleo destacadas en ai model optimization software (¡Están contratando!)

Edge AI Model Optimization Software Engineer
NXP Semiconductors —Guadalajara, Jal.
- Tiempo completo
- Administración de personal
- Doctorado
- Informática
IOT Software Applications Engineer
Qualcomm —Ciudad de México, CDMX
- Informática
- Maestría
- C++
6d
Software Engineer II (Frontend)
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- CAD
- JavaScript
- Desarrollo de software
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Software Engineer Intern
Arkham Technologies —Ciudad de México, CDMX
- Trabajo híbrido
- Informática
- SQL
- Licenciatura
Postulación rápida
Software Engineer II (Signup & Activation)
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- CAD
- JavaScript
- Desarrollo de software
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Principal Software Engineer, Applied AI Services
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en bases de datos
- Disponible para viajar
Decision Intelligence Analyst - Mexico City
ailylabs —Ciudad de México, CDMX
- Azure
- Informática
- SQL
Postulación rápida
AI Algorithm Research Intern – Neuromorphic Computing
Intel —Guadalajara, Jal.
- Tiempo completo
- Doctorado
- Informática
- Maestría
Senior Software Engineer (C++ / Real-Time Systems)
Derq —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Experiencia en bases de datos
- SQL
Postulación rápida
AI Product Engineer - Agentic AI Platforms (Financial Services)
Capgemini —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Licenciatura
- Desarrollo de software
- Python
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Data Scientist - Life Sciences AI / ML
Zifo —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Doctorado
- Inglés
- Maestría
Postulación rápida
AI Architect – Agentic Systems (LLM & Multi-Agent Solutions)
Endava —Monterrey, N. L.
- Tiempo completo
- Azure
- Administración de personal
- Python
- Programa de referidos
Software Engineer | AI Focus
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Experiencia en ventas
- Salesforce
AI Specialist
Totum Talent —San Pedro Garza García, N. L.
- Administración de personal
- Experiencia en bases de datos
- SQL
Expert Consultant, Coro, AI Engineer
Bain & Co. —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Doctorado
- Programa de bienestar
- Seguro dental
Postulación rápida
Senior Software Engineer, Generative AI
Varicent —Desde casa
- Home Office (Desde casa)
- Azure
- Informática
- Licenciatura
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
AI Application Engineer
RouteGenie —Desde casa
- Tiempo completo
- Trabajo híbrido
- Inglés
- Experiencia en bases de datos
- Python
Postulación rápida
Oliver Wyman - ML Engineer - Generative AI & Unstructured Data - Mexico City
Oliver Wyman —City, Hgo.
- Tiempo completo
- Azure
- Administración de personal
- Experiencia en bases de datos
AI Engineer, IT, AI Enablement
Micron —Tlaquepaque, Jal.
- Azure
- Administración de personal
- Informática
AI Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos

Quiero recibir la alerta de empleo más reciente para ai model optimization software

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Edge AI Model Optimization Software Engineer

NXP Semiconductors -
Guadalajara, Jal.

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Información del empleo

Tiempo completo

Cualificaciones

Modelos de inteligencia artificial
Administración de personal
Doctorado
Informática
PyTorch
Maestría
C++
Hardware de computadora
Python

Descripción completa del empleo

We at NXP have an environment that fosters innovation. Our team has technology experts who understand the big picture and mentors who coach passionate professionals to work on the most exciting challenges. We share responsibilities in everything we do, where every point of view is valued. Join us!

Job Summary

We are looking for a hands-on AI Optimization Engineer who thrives at the intersection of algorithms, systems engineering, and production-grade software. We are looking for someone who wants to work at the heart of state-of-the-art AI, not yesterday’s models, but the frontier: Generative AI, Transformers, Vision-Language Models (VLMs), and the emerging wave of Agentic AI systems.

In this role, you will contribute to the engineering of the core optimization technology that makes these advanced models run efficiently on NXP’s next-generation edge platforms, such as Ara 2. While Neural Network Quantization will be your primary focus, your impact will go far beyond it. You will architect high-performance software and collaborate across compiler, and hardware teams. Your work will directly define how frontier AI models are executed on-device, enabling fast, reliable, and power-efficient GenAI on resource-constrained platforms.

If you want to work where AI innovation meets real-world engineering, and build the infrastructure that defines what tomorrow’s smart, autonomous, AI-powered devices can do, this is the role for you.

Job Responsibilities

1. Optimization Tools: Own and evolve our production-grade optimization tools. You will design and implement quantization features, including mixed-precision flows that are robust enough for global deployment.

2. Pipelines: Design and maintain scalable PTQ (Post-Training Quantization) and QAT (Quantization-Aware Training) workflows, ensuring seamless integration with other optimizations and downstream deployment stacks.

3. Applied Innovation & Tooling: Collaborate on Proof‑of‑Concepts (POCs) for state-of-the-art quantization techniques. You won’t just prototype; you will evaluate the real-world impact of novel ideas and engineer the "bridge" that turns successful experiments into production-ready deployment recipes and developer tooling.

4. Numerical & Hardware Rigor: Apply your math foundation to implement approximation algorithms (range estimation, bias correction, BN-folding) while ensuring bit-exactness on target hardware. You will bridge the gap between abstract math and physical constraints like accumulator widths, saturation, and rounding behaviors.

5. Systems Performance: Profile and optimize the "hot paths" of our optimization toolchain to meet strict memory and compute-constrained targets.

6. Cross-Functional Leadership: Act as the technical bridge between AI Research and Hardware Engineering, providing quantified guidance on how choices impact model accuracy and performance.

7. Deployment Architecture: Document algorithmic tradeoffs and derive "gold-standard" deployment recipes, acting as technical mentor for other engineering teams, ensuring deployment strategies are scalable and repeatable.

Job Qualifications

Required Background

Education: MSc or Ph.D. (is a plus) in Computer Science, Electrical Engineering, or Mathematics with a specialization in Machine Learning or Deep Learning.

Systems Programming: Mastery of Python and C/C++. You should be comfortable with memory management and understanding how code maps to hardware (CPUs/NPUs).

AI Expertise: Proven experience in AI/ML with a good understanding of CNN architectures and Generative AI (Transformers).

AI Optimization: Experience with (or a strong desire to learn) quantization workflows and troubleshooting accuracy regressions.

Technical Stack: Strong hands-on experience with PyTorch, ONNX, and other AI/ML frameworks.

Preferred

Hardware Acceleration: Experience with hardware accelerators, device-level profiling, and diagnosing memory bottlenecks.

Embedded Mindset: Familiarity with the constraints of embedded systems (latency, power, memory bandwidth).

Advanced AI: Experience implementing state-of-the-art quantization for generative AI (e.g., GPTQ, Smoothquant, etc).

Compilers: Knowledge of MLIR or TVM is a significant plus.

What You Will Gain

Be part of a pioneering team shaping the future of AI and edge computing.

Work on innovative projects that solve real-world challenges.

Opportunity to grow with a dynamic, forward-thinking company.

Competitive salary, benefits, and a collaborative work environment.

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More information about NXP in Mexico...

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Principal Software Engineer, Applied AI Services

Decision Intelligence Analyst - Mexico City

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Senior Software Engineer (C++ / Real-Time Systems)

AI Product Engineer - Agentic AI Platforms (Financial Services)

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Software Engineer | AI Focus

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Oliver Wyman - ML Engineer - Generative AI & Unstructured Data - Mexico City

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