Software Engineer, Core Technology
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Requirements
• ML Engineering Track • 3+ years of professional software engineering experience in building production ML systems, training infrastructure, or research platforms • Proficiency in Python, additional experience with at least one other systems language (C++, C#, Java, Rust, or Go) • Hands-on experience with PyTorch or TensorFlow in production or research environments • Experience building or maintaining ML training pipelines or data workflows • Familiarity with model deployment, inference optimization, or MLOps practices • Framework Engineering Track • 3+ years of professional software engineering experience in building real-time software frameworks, cross-platform systems, or performance-critical applications • Proficiency in C++/C#, additional experience with at least one other systems language (C++, C#, Java, Rust, or Go) • Experience with cross-platform development • Proven track record with performance optimization, real-time systems, or hardware abstraction layers • Experience building developer APIs or software frameworks used by other engineers • For ML Engineering Track • Experience with distributed training systems or GPU-accelerated computing • Knowledge of data versioning, experiment tracking, or ML metadata management • Familiarity with containerization (Docker) and orchestration tools • Contributions to open-source ML projects or research publications • For Framework Engineering Track • Experience building real-time systems or low-latency software • Familiarity with computer vision, signal processing, or embedded systems • Experience with cross-platform development or hardware abstraction • Knowledge of performance optimization and profiling • Experience with sensing technologies (cameras, microphones, or similar) • Familiarity with CI/CD pipelines and automated testing • For Either Track • For Either Track • Experience working in small, high-performance technical teams • Background in startups, high-growth environments, or consumer product companies • Passion for pushing technical boundaries and deep problem-solving
Responsibilities
• ML Engineering Track • Design and build training pipelines, data workflows, and model integration systems • Develop infrastructure that accelerates research iteration and reduces turnaround time • Build systems for data collection, curation, and preprocessing at scale • Create tools and automation that move experiments toward production readiness • Optimize data pipelines for reliability, performance, and observability • Collaborate with ML researchers to understand their needs and remove technical blockers • Work on model serving infrastructure and integration with the production framework • Framework Engineering Track • Design and develop a robust, performant, cross-platform framework for sensing, detection, haptics, and ML inference • Build efficient runtime execution systems and hardware abstraction layers • Develop developer APIs that make complex sensing and inference accessible • Optimize for real-time performance on multimodal data streams • Work on camera, microphone, and haptics integration • Implement code that runs reliably across different platforms and hardware configurations • Improve framework stability, performance, and developer experience • Both Tracks • Write clean, well-tested code that maintains high engineering standards • Participate in code reviews and help raise the engineering bar across the team • Contribute to shared tools, infrastructure, and cross-role projects (20% Time) • Work with the dual-leadership model (Engineering Manager and Tech Lead) to understand priorities and technical direction • Document systems and decisions to support team knowledge sharing
Benefits
• Competitive compensation package. • Flexible working hours and vacation policy. • Product-driven culture that treasures talents and individual growth. • Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field • Nex is located in San Jose, California, USA and Hong Kong. Learn more about us at nex.inc/who-we-are.We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! • San Jose, California, USA • Hong Kong