Job Description
We are seeking a visionary Future Tech Lead to drive our strategic roadmap towards the year 2026 and beyond. Nexus Innovations is at the forefront of integrating next-generation Artificial Intelligence with immersive spatial computing environments. In this pivotal role, you will define the technical trajectory of our flagship products, ensuring we remain the industry leader in the next era of digital interaction.
You will work closely with C-suite executives and product teams to translate futuristic concepts into actionable, scalable technical roadmaps. This is an opportunity to build the infrastructure that will power the digital world of tomorrow.
Key Benefits:
- Competitive base salary and equity participation.
- Unlimited PTO and comprehensive health benefits.
- Access to the latest development kits and hardware.
- Quarterly 'Innovation Sprints' in our Silicon Valley HQ.
Responsibilities
- Define and execute the long-term technical strategy for AI integration and spatial computing features.
- Lead a cross-functional team of engineers, designers, and data scientists in R&D initiatives.
- Conduct rigorous feasibility studies to prototype and validate emerging technologies for 2026 readiness.
- Establish architectural best practices for scalability, security, and performance in cloud-native environments.
- Present technical roadmaps and project updates to executive stakeholders and investors.
- Stay ahead of industry trends to identify disruptive technologies that could impact our business model.
Qualifications
- 10+ years of experience in software engineering, with at least 3 years in a leadership or senior architect role.
- Deep expertise in Artificial Intelligence, Machine Learning, and Spatial Computing technologies.
- Strong understanding of cloud architecture (AWS, Azure, or GCP) and distributed systems.
- Proven track record of driving innovation and delivering complex, cutting-edge products on time.
- Excellent communication skills, capable of bridging the gap between technical and non-technical teams.
- Master's degree in Computer Science, Engineering, or a related field is preferred.