United States · Remote Solely
A Moving Experience. What You Will Work On Design and operate distributed training systems for large neural networks (autoregressive, diffusion, State Space Models etc.) across GPU clusters Optimise multi‑node, multi‑GPU…
Skills: Distributed Systems, GPU Orchestration, PyTorch Distributed, Slurm, Kubernetes
Taiwan · Remote OK
A Moving Experience. We are seeking a highly skilled Senior Software Engineer for the development and release of software products by transforming research outcomes into production-ready solutions. The ideal candidate wi…
Skills: C++, C, Java, Python, Automated testing
Aachen, North Rhine-Westphalia, Germany · Hybrid
A Moving Experience. Do you have a passion for pushing the boundaries of innovation? Are you excited about AI’s potential to improve the human experience? Then come join the ride! Who is Cerence? Cerence is the global le…
Skills: Large Language Models, Generative AI, Python, Machine learning, Dialog systems
Hinjawadi, Maharashtra, India · Hybrid
A Moving Experience. Do you have a passion for pushing the boundaries of innovation? Are you excited about AI’s potential to improve the human experience? Then come join the ride! Who is Cerence AI? Cerence AI is the glo…
Skills: Speech recognition, NLP, Machine learning, Deep learning, Generative AI
United States · Remote OK
$86k–$130k/yr
A Moving Experience. Opportunity: Join Cerence AI as a FinOps Developer responsible for driving visibility, accountability, and optimization of cloud infrastructure spend across a global Azure-first environment. This rol…
Skills: FinOps, Cloud engineering, Azure, AWS, GCP
Montreal, Quebec, Canada · Remote OK
$132k–$211k/yr
A Moving Experience. Industrial AI is transforming how frontline workers and factory operations function. At Cerence, we are bringing together Voice AI, Industry 4.0, Digital Twins, Edge AI, and intelligent automation to…
Skills: Solution Architecture, Industrial AI, IIoT, Digital Twins, Smart Manufacturing
Montreal, Quebec, Canada · Remote OK
$108k–$173k/yr
A Moving Experience. Frontline workers increasingly rely on intelligent, speech-enabled applications to access information, complete tasks, and interact with industrial systems. Cerence is bringing Voice AI and Embedded …
Skills: Android, iOS, Kotlin, Java, C++
Montreal, Quebec, Canada · Remote OK
$107k–$173k/yr
A Moving Experience. Frontline workers increasingly rely on intelligent, speech-enabled applications to access information, complete tasks, and interact with industrial systems. Cerence is bringing Voice AI and Embedded …
Skills: Android, iOS, Kotlin, Java, C++
Canada · Remote OK
$129k–$207k/yr
A Moving Experience. Senior Business Developer – Manufacturing & Industrial Automation Agentic voice AI is reshaping how work gets done on the industrial frontline, and we are responding to a deep unmet need: giving fron…
Skills: Business Development, Strategic Partnerships, Industrial Automation, Manufacturing Operations, Edge AI
Canada · Remote OK
$139k–$222k/yr
A Moving Experience. Senior Solutions Architect – Manufacturing & Industrial Automation Your Impact Engage senior technical decision-makers across the manufacturing and industrial automation ecosystem — rugged device, we…
Skills: Solutions Architecture, Technical Pre-sales, Industrial Automation, Voice AI, Systems Integration
Taipei, Taiwan · On-site
A Moving Experience.Software Developer for CA SDK(C++) Responsibilities: • Analyze and implement product requirements from projects. • Integrate the latest voice recognition technologies. • Develop unit tests to ensure t…
Skills: C++, C, Multi-threading, Memory Management, Git
United States · Remote OK
$119k–$191k/yr
A Moving Experience. Principal Solutions Architect – Robotics & Voice Location: California Bay Area Voice AI is reshaping how robots work in the real world, and we are responding to a deep unmet need: giving mobile servi…
Skills: Robotics Software Stack, ROS 2, SLAM, Nav2, MoveIt 2
United States · Remote OK
$193k–$290k/yr
A Moving Experience. Senior Principal Technical Solution Architect – Humanoid Robotics Location: California Bay Area Physical AI is transforming how humans interact with intelligent machines. At Cerence, we are extending…
Skills: System Architecture, SLAM, Nav2, MoveIt2, C++
United States · Remote OK
$166k–$264k/yr
A Moving Experience. Principal Software Engineer – Robot Applications & Voice AI Location : California Bay area Humanoid robots become truly useful when they understand human intent and convert it into meaningful action.…
Skills: Python, C++, BehaviorTree.CPP, LLMs, VLMs
United States · Remote OK
$119k–$191k/yr
A Moving Experience. Senior Business Developer – Robotics & Voice Location: California Bay Area Voice AI is reshaping how robots work in the real world, and we are responding to a deep unmet need: giving mobile service r…
Skills: Business Development, Sales Strategy, Robotics, Voice AI, Conversational AI
India · Remote OK
A Moving Experience. We are looking for a scientist to be a part of XUI- Cerence's conversational AI platform using large language models including multimodal (both on Edge and in cloud). What You Will Work On Design and…
Skills: Deep Learning, Transformer Architectures, Large Language Models, Representation Learning, Distributed Training
United States · Remote OK
$124k–$198k/yr
A Moving Experience. What You Will Work On Design and train large‑scale transformer and hybrid foundation models Own model architecture choices across text, multimodal, and emerging paradigms Diagnose and resolve trainin…
Skills: Deep Learning, Transformer Architectures, Representation Learning, Model Optimization, Distributed Training
Hinjawadi, Maharashtra, India · Remote OK
A Moving Experience. Do you have a passion for pushing the boundaries of innovation? Are you excited about AI’s potential to improve the human experience? Then come join the ride! Who is Cerence AI? Cerence AI is the glo…
Skills: High Performance Computing, Linux, Slurm, Python, Kubernetes
United States · Remote OK
$185k–$280k/yr
A Moving Experience. Who is Cerence AI? Cerence AI is the global leader in AI for transportation, specialized in building AI and voice-powered companions for cars, two-wheelers, and more that enable people to focus on wh…
Skills: Deep Learning, Transformer Architectures, Generative AI, Distributed Training, Scaling Laws
United States · Remote OK
A Moving Experience. Role Overview: Lead seller responsible for acquiring dealer groups and closing multi-rooftop deals. Primary closer + relationship builder Focus on: Large dealer groups High-probability deals Owns pip…
Skills: Enterprise Sales, Dealer Group Acquisition, Pipeline Management, Contract Negotiation, Discovery Conversations
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Design and operate distributed training systems for large neural networks across GPU clusters to maximize throughput and utilization. Partner with research and applied ML teams to productionize large-model training pipelines while ensuring stability and fault tolerance.
Requires deep hands-on experience with distributed systems or ML systems and production experience with PyTorch distributed training. Candidates must possess strong technical skills in GPU orchestration, communication libraries, and memory optimization techniques.
What You Will Work On
Design and operate distributed training systems for large neural networks (autoregressive, diffusion, State Space Models etc.) across GPU clusters
Optimise multi‑node, multi‑GPU execution to maximize throughput and utilization
Diagnose & resolve bottlenecks across compute, memory, and network
Improve training stability and fault tolerance at scale
Partner with research and applied ML teams to productionize large‑model training pipelines
Core Responsibilities
Distributed Training Infrastructure
Build and optimize GPU cluster orchestration using:
Slurm
Kubernetes
Ray
RunAI
Ensure efficient scheduling, isolation, and fairness across training workloads
Communication & Networking
Optimize and debug distributed communication using:
NCCL
RDMA
InfiniBand
NVLink
Minimize networking bottlenecks that dominate end‑to‑end training time
Training Frameworks
Scale large-model training using:
PyTorch Distributed
Megatron‑LM
DeepSpeed
Own multi‑node launch configurations, failure recovery, and performance tuning
Memory & Performance Optimization
Apply advanced memory optimization techniques:
Activation checkpointing
ZeRO (Stage 1–3) and offload strategies
Balance compute, memory, and communication to push model size and batch scale
What Success Looks Like
GPU utilization consistently stays high (>80–90%)
Training scales cleanly from single node to dozens or hundreds of GPUs
Communication overhead is minimized and predictable
Large training jobs run stably for days or weeks without failure
New models can be trained faster, larger, and more reliably than before
Required Experience & Skills
Strongly Required
Deep hands‑on experience with distributed systems or ML systems
Experience running large‑scale workloads on GPU clusters
Production experience with PyTorch distributed training
Strong understanding of parallelism strategies (data, tensor, pipeline parallelism)
Low‑level understanding of GPU communication and networking
Critical Technical Skills
GPU orchestration: Slurm, Kubernetes, Ray, RunAI
Communication libraries: NCCL, RDMA, InfiniBand, NVLink
Training frameworks: PyTorch Distributed, Megatron‑LM, DeepSpeed
Memory optimisation: activation checkpointing, ZeRO offload techniques
Common Problems You’ll Be Solving
Many teams fail at scale because:
GPU utilization is low despite large clusters
Networking and communication dominate training time
Training jobs crash or become unstable at large scale
You will be explicitly focused on eliminating these failure modes.
Ideal Background
This role is a strong fit for individuals who have worked as:
ML Systems Engineer
Distributed Systems Engineer
AI Infrastructure Engineer
HPC Engineer transitioning into ML
Experience working with large language models or foundation models is a strong plus, but deep systems expertise is valued over pure model architecture experience.
Why This Role Matters
Without robust distributed training infrastructure, progress on large models stalls. This role directly enables:
Larger models
Faster iteration cycles
More reliable research-to-production pipelines
You will be building the foundation that makes large‑scale AI possible.
Cerence Inc. (Nasdaq: CRNC and www.cerence.com) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world’s leading automakers – from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC – to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages.
As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars. This is an exciting opportunity to join Cerence’s passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry.
Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement.
All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes:
- Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace.
- Following security procedures to report any suspicious activity.
- Having respect for corporate security procedures to allow those procedures to be effective.
- Adhering to company's compliance and regulations.
- Encouraging to follow a zero tolerance for workplace violence.
Creating AI-powered user experiences for the world’s leading automakers, two-wheeler OEMs, and trucking companies.
Cerence AI (NASDAQ: CRNC) is a global industry leader in creating intuitive, seamless, AI-powered experiences across automotive and transportation. Leveraging decades of innovation and expertise in voice, generative AI, and large language models, Cerence AI powers integrated experiences that create safer, more connected, and more enjoyable journeys for drivers and passengers alike. With more than 525 million cars shipped with Cerence AI technology, the company partners with leading automakers, transportation OEMs, and technology companies to advance the next generation of user experiences. Cerence AI is headquartered in Burlington, Massachusetts, with operations globally and a worldwide team dedicated to pushing the boundaries of AI innovation. For more information, visit www.cerence.ai.
Offices: Burlington, Massachusetts 01803, US
Creating AI-powered user experiences for the world’s leading automakers, two-wheeler OEMs, and trucking companies.
Cerence AI (NASDAQ: CRNC) is a global industry leader in creating intuitive, seamless, AI-powered experiences across automotive and transportation. Leveraging decades of innovation and expertise in voice, generative AI, and large language models, Cerence AI powers integrated experiences that create safer, more connected, and more enjoyable journeys for drivers and passengers alike. With more than 525 million cars shipped with Cerence AI technology, the company partners with leading automakers, transportation OEMs, and technology companies to advance the next generation of user experiences. Cerence AI is headquartered in Burlington, Massachusetts, with operations globally and a worldwide team dedicated to pushing the boundaries of AI innovation. For more information, visit www.cerence.ai.
Offices: Burlington, Massachusetts 01803, US
