Cerence Inc.

AI Research Scientist

• Design and train large scale transformer and hybrid foundation models
• Own model architecture choices across text, multimodal, and emerging paradigms
• Diagnose and resolve training instabilities at scale
• Navigate scaling tradeoffs across data and compute
• Apply strong fundamentals in deep learning and representation learning
• Build models from first principles, not just adapt pre-existing codebases
• Own optimiser and scheduler choices, including AdamW, Lion, Adafactor
• Design and experiment with loss functions including next-token prediction and contrastive objectives
• Design and execute large-scale training using FSDP, ZeRO-3, Tensor parallelism, Pipeline parallelism
• Apply mixed precision (bf16, fp8) and gradient checkpointing

Senior AI Scientist

Student

• Conduct experiments and develop small applications that will help you to translate theoretical concepts into practical applications in a professional environment.
• Expected to engage with your colleagues, supervisors, and support team to progress in your assigned projects and meet delivery deadlines and goals.
• Expected to take initiative, seek out new challenges, and contribute towards the team’s success.
• Expected to take ownership of your assigned development tasks, document them, and present to the team.
• Establish clear communication channels with your supervisor and feel comfortable seeking guidance in order to ensure you are aware of expectations.

Student Worker

Research Scientist

• Design and train large-scale transformer and hybrid foundation models
• Own model architecture choices across text, multimodal, and emerging paradigms
• Diagnose and resolve training instabilities at scale
• Navigate scaling tradeoffs across data, compute, and architecture
• Define the technical direction for next-generation models
• Apply strong fundamentals in deep learning and representation learning
• Design and modify transformer architectures, including: Attention variants, RoPE, ALiBi, Grouped Query Attention (GQA), Mixture-of-Experts (MoE)
• Build models from first principles, not just adapt pre-existing codebases
• Own optimizer and scheduler choices, including: AdamW, Lion, Adafactor
• Understand and debug optimizer instability, gradient pathologies, divergence at large scale
• Validate scaling laws and navigate compute vs. data tradeoffs

Senior Principal Software Scientist

Robotics

• Engage senior decision-makers at robotics companies building the next generation of physical AI in mobile and service robotics
• Qualify, size, and close opportunities, leveraging the company’s technical, commercial, and partnership resources to increase win rates and accelerate deal closure
• Bring the experience and judgment to prioritize opportunities with the greatest commercial potential
• Drive partnerships and deals from first contact through to close, owning the full deal cycle
• Operate as a standalone commercial engine inside a small, entrepreneurial team, with enough technical fluency to hold your own on how robotics works

Senior Business Developer – Robotics, Voice AI

Solutions Engineer

• Engage senior technical decision-makers at robotics companies building the next generation of physical AI in mobile and service robotics, from startups to mid-sized players to established names.
• Own the technical core of every opportunity: understand how our voice solution runs on the customer’s hardware, design how it fits, and work through the hard questions that keep a deal moving.
• Clear the technical roadblocks between interest and a signed deal, turning evaluations into commitments.
• Work hand in hand with sales, product, and professional services, translating what you learn in the field into how we sell, deliver, and build.
• Shape the product itself, feeding real customer hardware and conditions back into what we build next.

Senior Solutions Architect – Robotics, Voice AI

Android Engineer

• Analyze product requirements and liaise with R&D and developers in order to define framework configuration and setup
• Work together with framework team on requirements and optimal configuration for specific customer projects
• Implement high level, customer specific speech dialog interface using Android infrastructure and AIDL description
• Analyze and implement dependencies to other Android native interfaces to the customer specific Android Speech Assistant and to different speech-controlled applications including cloud-based components
• Perform memory and CPU measurements on target platform
• Work together with development and R&D for improving latency, memory and CPU consumption
• Work together with project team on localization and reproduction of defects.

Senior Software Engineer – Android

Full-stack Engineer

• Optimize and deploy high ‑ performance LLM inference pipelines
• Own inference runtimes across data center, edge, and embedded platforms
• Push model performance through quantization, kernel fusion, and cache optimization
• Drive latency and throughput improvements that directly impact production products
• Enable efficient, reliable deployment without external vendor dependency
• Build deep expertise and ownership of: vLLM TensorRT‑LLM llama.cpp QAIRT
• Extend and tune inference engines using custom CUDA kernels
• Adapt runtimes for constrained and embedded deployment environments
• Implement and evaluate quantization strategies: INT8, INT4, FP4, FP8, mixed precision AWQ GPTQ
• Balance accuracy, latency, memory footprint, and throughput
• Optimize key–value cache performance through: Paging Prefix caching Cache ‑ aware memory layout design
• Design and tune: Batching strategies Continuous batching Speculative decoding

Senior Principal Software Engineer

Engineer

• Deliver and own the migration of company applications into Intune Company Portal (packaging, deployment, lifecycle management).
• Define standards for application onboarding (testing approach, rollout method, documentation, troubleshooting playbooks).
• Maintain and improve the solution over time: rationalise the app catalogue, improve reliability, and drive continual service improvements.
• Administer and improve core M365 services, with emphasis on SharePoint/OneDrive and tenant governance.
• Provide Tier 2/3 support for escalated service requests from the IT Service Desk; document recurring fixes in the knowledge base.
• Support identity and access needs in Entra ID, including SSO configuration and Enterprise Application management.

Senior Modern Workplace Engineer – Intune, M365

• Finetune LLMs using RL and other SOTA methods
• Create conversational workflows involving tool-calls and static knowledge
• Work with agent teams to build business logic into conversation
• Employ multimodals to enrich the conversational UX
• Innovate and build novel methods for faster inference