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We are seeking an experienced Software Team Leader to lead the design, implementation, and optimization of our graph compiler key backend functionalities. You will own and drive the development of compiler infrastructure that transforms high-level computational graphs into efficient, hardware-optimized execution flows. This role combines deep technical leadership with people management responsibilities.
Responsibilities:
Take full ownership of key components within the graph compiler backend. Lead, mentor, and grow a team of talented software engineers; set priorities, review designs, and ensure timely, high-quality delivery. Drive the definition and the implementation of backend compiler architecture to support various graph IR transformations, optimization passes, and hardware abstractions. Lead the identification and implementation of compiler-level optimizations to maximize performance and efficiency of workloads on target hardware. Drive clear and transparent work planning by balancing performance goals and time-to-market considerations, fostering a proactive can-do mindset across the team. Establish best practices for code quality, testing, documentation, and continuous integration within the compiler team. Work closely with frontend compiler, runtime, architecture and hardware design teams to ensure seamless integration across the software stack.

Lead the development of Sensing SDK, a core software toolkit that integrates a broad set of computer vision, audio, and voice libraries, along with AI operators. The SDK is specifically designed and optimized for latest NPUs and DSPs - NeuPro-M, NeuPro-Nano and SensPro2 - positioning it as a cornerstone of sensing and AI platform.
Key Responsibilities:
Lead and mentor a team of software engineers developing Sensing AI SDK. Architect and implement high-performance sensing SW components for AI, vision, Audio and voice optimized for vectorize SIMD execution. Collaborate with compiler and DevOps teams to ensure efficient development and deployment. Drive technical excellence through code reviews, design discussions, and continuous improvement. Own the SDK roadmap, planning, and delivery cycles. Engage with customers to enable successful pre-sale processes, support integration and gather feedback.

we are looking for a Graph Compiler Software Senior Team Leader.
As a Graph Compiler Software Manager, you will lead the development of next-generation graph compiler technology. This compiler is a cornerstone of AI software offering, empowering customers to optimize, map, and execute complex neural networks across architectures with extraordinary efficiency. You will lead a group of talented engineers and team leaders working across domains such as compiler optimizations, graph-level transformations, operator mapping, scheduling, and code generation. We are seeking a visionary and technically strong leader with passion for excellence and impact in one of the most fascinating areas of AI and deep learning.
Key Responsibilities:
Lead the design and implementation of innovative graph compilation flows for AI workloads, from high-level optimizations to hardware-specific backends. Build and guide a strong, innovative, and results-driven compiler team that thrives on solving complex technical challenges. Collaborate with hardware architecture, VLSI, and software framework teams worldwide to ensure seamless integration and maximum performance. Lead the end-to-end delivery of graph compiler components while meeting aggressive KPIs. Establish and execute group planning processes to ensure timely and high-quality delivery. Provide technical and managerial guidance to team leaders and engineers. Define and drive compiler optimization strategies for AI and deep learning workloads.

Were looking for a talented and motivated Platform Software Engineer with strong design, coding, and debugging skills - and the passion to lead and mentor others.
In this role, youll take part in developing core components of our large-scale, distributed data-path system - from high-level features to low-level implementation close to the hardware.
What youll do:
Design and develop platform features, including both front-end and back-end aspects.
Work closely with the hardware layer (e.g., BSP, I2C, IPMI).
Drive complex projects from design to production.
Collaborate with multiple teams across disciplines.
Lead by example - mentor team members and contribute to a culture of technical excellence.

In one sentence
We are seeking an experienced and strategic FinOps Team Lead to own and scale our Cloud Financial Operations practice across multiple business units and cloud environments. You will lead day‑to‑day cloud financial operations, driving cost optimization, financial accountability, and operational efficiency, while partnering closely with Engineering, Finance, Procurement, and product teams to ensure cloud investments deliver maximum business value.
What will your job look like?
Team Leadership & Development:
o Manage and mentor a team of FinOps professionals, fostering a culture of collaboration and continuous improvement.
o Define roles, responsibilities, and career development plans for team members.
Optimization & Task Management:
o Oversee and prioritize optimization initiatives across multiple cloud platforms (AWS, Azure, GCP).
o Ensure timely execution and tracking of cost-saving projects and operational improvements.
Planning & Governance:
o Build and maintain weekly, monthly, and annual work plans aligned with organizational goals.
o Establish governance frameworks for FinOps processes and ensure compliance with corporate policies.
Reporting & Transparency:
o Provide clear visibility into savings achieved, task status, and ROI of optimization efforts.
o Develop dashboards and reports for executive leadership and key stakeholders.
Cross-Functional Collaboration:
o Work closely with technical teams, finance, procurement, and executive leadership to align priorities and drive results.
o Act as the primary liaison between cloud service owners and financial stakeholders.
o Identify opportunities for cost reduction and efficiency improvements.
POC Leadership & Tool Evaluation:
o Lead Proof of Concept (POC) initiatives for new FinOps tools and technologies.
o Define KPIs for POCs and evaluate candidates for enterprise-wide adoption.
Process & ROI Communication:
o Clearly articulate the value and ROI of FinOps initiatives to stakeholders.
o Promote FinOps best practices across the organization.

In one sentence
we are a global leader in software and services for communications, media, and digital enterprises. As AI reshapes the future of software, we are harnessing its power to transform networks, IT systems, and business operations.
We are building a pioneering AI Evangelist team, and we are seeking a leader who will shape the vision, strategy, and execution of this group. This role combines technical depth, strategic thinking, and people leadership to accelerate AI adoption inside our company and establish us as a thought leader in the global AI ecosystem.
What will your job look like?
1. Strategic Leadership & Team Building
Define and execute the strategy for AI Evangelism and Enablement across our company.
Build, manage, and scale a high-performing team of AI Evangelists.
Attract, hire, and develop top talent; foster a culture of innovation, collaboration, and continuous learning.
Set clear goals, measure impact, and align team efforts with our companys broader AI transformation agenda.
2. Internal AI Enablement
Partner with engineering, product, and business leaders to embed AI/GenAI tools and workflows into the delivery lifecycle.
Establish organization-wide standards, best practices, and frameworks for AI-assisted development.
Build and nurture internal communities of practice to ensure responsible, scalable adoption of AI.
3. Hands-on Innovation
Guide pilots, prototypes, and proof-of-concepts to demonstrate business impact of AI.
Provide architectural direction for integrating LLMs, AI services, and automation frameworks at scale.
Balance strategic oversight with occasional hands-on contributions to showcase technical credibility.
4. Knowledge Sharing & Capability Building
Drive the development of training programs, workshops, and enablement content.
Mentor Evangelists, Engineers, and Analysts, ensuring they are empowered with skills and confidence to apply AI in real-world contexts.
Establish metrics to measure the adoption, impact, and maturity of AI practices across the company.
5. External Advocacy & Thought Leadership
Represent our company externally at industry events, customer forums, and developer communities.
Publish articles, whitepapers, and open-source contributions that highlight our companys innovative AI adoption.
Identify external trends and translate them into actionable opportunities for our company.

In one sentence
Join our companys GenAI & Data unit as a Lead Data Scientist and shape the future of AI innovation.
Drive the development and deployment of advanced machine learning models, lead a team of top-tier Data & AI experts, and turn bold ideas into scalable, high-impact solutions. Youll champion best practices, collaborate with R&D, and transform business objectives into cutting-edge, data-driven strategies - operating with startup agility inside a global enterprise.
What will your job look like?
As a Data Scientist Lead, your responsibilities include:
Leading and mentoring a team of Data and AI engineers, fostering a culture of innovation, collaboration, and continuous learning.
Full responsibility for developing and implementing advanced machine learning models, and translating business objectives into actionable data-driven solutions, while also mentoring junior team members and staying current with industry trends
Working with R&D groups for integration
Maintaining existing AI/ML engines.
Promoting best practices in AI development.