Your work will touch the full GenAI inference stack , from kernels and runtimes to orchestration and memory management. You will contribute to the design and implementation of the inference engine, and collaborate on model-serving stack optimized for large-scale LLMs inference.

Key responsibilities include:

• Collaborating with researchers to bring new model architectures or features (sparsity, activation compression, mixture-of-experts) into the engine
• Optimizing for latency, throughput, memory efficiency, and hardware utilization across GPUs, and accelerators
• Building and maintaining instrumentation, profiling, and tracing tooling to uncover bottlenecks and guide optimizations
• Developing and enhancing scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads
• Supporting reliability, reproducibility, and fault tolerance in the inference pipelines, including A/B launches, rollback, and model versioning
• Integrating with federated, distributed inference infrastructure – orchestrate across nodes, balance load, handle communication overhead
• Collaborating cross-functionally: with platform engineers, cloud infrastructure, and security/compliance teams
• Documenting and sharing learnings, contributing to internal best practices and open-source efforts when possible

Requirements include:

• BS/MS/PhD in Computer Science, or a related field
• Strong software engineering background (3+ years or equivalent) in performance-critical systems
• Solid understanding of ML inference internals: attention, MLPs, recurrent modules, quantization, sparse operations, etc.
• Hands-on experience with CUDA, GPU programming, and key libraries (cuBLAS, cuDNN, NCCL, etc.)
• Comfortable designing and operating distributed systems, including RPC frameworks, queuing, RPC batching, sharding, memory partitioning
• Demonstrated ability to uncover and solve performance bottlenecks across layers (kernel, memory, networking, scheduler)
• Experience building instrumentation, tracing, and profiling tools for ML models
• Ability to work closely with ML researchers, translate novel model ideas into production systems
• Ownership mindset and eagerness to dive deep into complex system challenges
• Bonus: published research or open-source contributions in ML systems, inference optimization, or model serving

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We're looking for a network engineer who thinks in metrics first. You will use deep networking knowledge and rigorous measurement to figure out where and how bandwidth, latency, and dollars are being used, find optimization opportunities and land them.

Responsibilities

• Build the network observability stack. Design and deploy telemetry pipelines , sFlow/IPFIX, gNMI streaming, eBPF host probes , that turn packet counters into per-flow, per-tenant, per-workload cost and utilization data. Own the SLIs for backbone and DCN fabric health.
• Hunt for efficiency. Analyze inter-region traffic patterns, identify hot links and stranded capacity, and quantify the dollar impact. Build the models that tell us whether we should buy more capacity, or move the workload.
• Own QoS and traffic engineering. Design and operate traffic classification, marking, and shaping across the backbone. Make sure bulk checkpoint transfers don’t starve latency-sensitive inference, and that we’re not paying premium cross-region rates for traffic that could take the cheap path.
• Drive cost attribution. Tie network spend , egress, interconnect ports, transit, optical leases , back to the teams and workloads that generate it. Make network cost a first-class input to capacity planning and workload placement decisions.
• Influence decisions you don't own. A large fraction of this role is convincing other teams to act on what your data shows: making the case to research that a traffic pattern needs to change, to finance that an interconnect tranche is worth buying, to Systems Networking that a QoS policy needs rewriting.

Requirements

• Have 5+ years operating large-scale production networks , data center fabrics (spine-leaf, Clos), backbone/WAN, or hyperscaler-adjacent environments.
• Are genuinely fluent across the stack: BGP (including policy and communities), ECMP, VXLAN/EVPN or equivalent overlays, QoS (DSCP, queuing, shaping), and L1/optical basics (DWDM, coherent, LAGs).
• Know at least one major CSP’s networking model deeply , AWS (VPC, TGW, Direct Connect, Gateway Load Balancer) or GCP (Shared VPC, Interconnect, Cloud Router, Network Connectivity Center) , and understand how their overlays interact with physical underlays.
• Have built or operated network telemetry at scale: streaming telemetry (gNMI/OpenConfig), flow export (sFlow, IPFIX, NetFlow), or eBPF-based host-side instrumentation. You can reason about sampling, cardinality, and storage tradeoffs.
• Comfortable writing Python or Go to build tooling, telemetry pipelines, infrastructure-as-code, config management for network devices and automation, that you’ll ship to production.
• Think quantitatively by default. You reach for a notebook or a Grafana query before you reach for an opinion, and you can turn messy counter data into a defensible cost model.
• Communicate crisply. You can explain to a finance partner why a 10% egress reduction matters, and to a network engineer why a specific ECMP imbalance is costing real money.

Nice to Have

• SRE experience for large-scale network infrastructure , designing for reliability, defining SLOs/SLIs for network services, capacity planning with error budgets, and incident response for network-impacting outages at scale.
• Background on a cloud provider's networking team or a cloud networking product team , building or operating the interconnect, backbone, or SDN control plane from the provider side, not just consuming it as a customer.
• Familiarity with AI/ML infrastructure traffic patterns like collective communication (all-reduce, all-gather), checkpoint/weight transfer, inference serving, and how these stress networks differ than traditional workloads in terms of burst behavior, flow synchronization, and bandwidth symmetry.
• Experience with HPC fabrics like InfiniBand, RoCE v2, lossless Ethernet, or custom high-radix topologies and an understanding of how job placement, congestion management, and adaptive routing interact at scale.
• Background in traffic engineering for large backbones and the operational judgment to know when TE is worth the complexity.
• Hands-on time with multi-cloud connectivity: cross-cloud peering, private interconnect products, and the billing models that come with them.
• Experience building cost/chargeback systems for shared infrastructure, or FinOps exposure in a large cloud environment.

Representative Projects

• Build a per-flow cost attribution pipeline that traces every byte of cross-region egress back to the team and workload that generated it
• Design QoS policy for the private backbone that prevents bulk checkpoint transfers from starving inference traffic
• Model whether it's cheaper to buy an additional 1.6Tb interconnect tranche or to re-route traffic through existing capacity
• Instrument DCN fabric utilization with streaming telemetry and build the Grafana dashboards that become the team's source of truth for network observability

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Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

We are looking for a Senior Software Engineer - Full Stack to join our team. As a key member of our engineering team, you will play a crucial role in developing our innovative fleet management system for autonomous industrial vehicles.

Responsibilities

• Develop and maintain both backend and frontend components of our cloud-based fleet management system
• Collaborate with Backend and Frontend Tech Leads to implement new features and improve existing functionality
• Write clean, efficient, and maintainable code in languages such as Python, Go or Java for backend, and React, Redux and TypeScript for frontend
• Contribute to the design and implementation of RESTful APIs and real-time data processing pipelines
• Assist in developing and optimizing database schemas and queries for both SQL and NoSQL databases
• Implement responsive and intuitive user interfaces
• Contribute to the development of advanced mapping features and geospatial data processing
• Participate in code reviews, providing constructive feedback to peers
• Assist in troubleshooting and resolving production issues across the full stack
• Implement and maintain unit tests, integration tests, and end-to-end tests
• Contribute to the continuous improvement of our development processes and tooling

Requirements

• 5+ years of professional software development experience in full stack roles
• Strong proficiency in backend development using Python, Go, Java, or similar languages
• Solid experience with frontend development using React, Redux, and TypeScript
• Familiarity with cloud platforms (AWS, Azure, or GCP) and microservices architectures
• Experience with database design and management, both SQL and NoSQL
• Knowledge of RESTful API design and implementation
• Understanding of event-driven architectures and message queuing systems
• Experience with containerization technologies such as Docker and Kubernetes
• Familiarity with version control systems (e.g., Git) and CI/CD pipelines
• Strong problem-solving skills and ability to debug complex issues across the full stack
• Good understanding of software design patterns and architectural principles
• Excellent communication skills and ability to work effectively in a collaborative team environment

Nice to Have

• Experience with WebSocket implementations
• Familiarity with mapping libraries (e.g., Mapbox) and geospatial data handling
• Knowledge of IoT platforms or autonomous systems
• Experience with data visualization and dashboard creation
• Experience with performance optimization for both backend and frontend systems
• Familiarity with time-series databases for handling sensor data

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
• Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)
• Company 401(k)
• Commuter Benefits
• Flexible vacation policy
• Remote or hybrid work opportunities
• Sabbatical leave opportunity after 5 years with the company
• Paid Parental Leave
• Daily lunches for in-office employees
• Monthly meal and tech allowances for remote employees

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Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

We are a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone's perspective matters,and that's what powers our innovation.

About this Role

As the Staff Software Engineer for our SaaS platform team, you will be crucial in developing Cyngn's cutting-edge fleet management system for autonomous industrial vehicles. You'll collaborate with product and engineering teams to design, implement, deploy, and maintain a robust cloud-based solution that enables real-time control and monitoring of autonomous vehicles in the field.

Responsibilities

• Architect and lead the development of a sophisticated, cloud-native fleet management system capable of real-time control and monitoring of numerous autonomous vehicles
• Design and implement scalable, distributed systems that can handle high-volume, real-time data processing and decision-making
• Develop robust APIs and microservices to support integration with various autonomous vehicle platforms and customer systems
• Create efficient algorithms for route optimization, task scheduling, and resource allocation across vehicle fleets
• Implement advanced data analytics and machine learning capabilities to provide predictive maintenance, performance optimization, and business intelligence features
• Ensure system reliability, security, and compliance with industry standards and regulations
• Lead a team of skilled engineers, fostering a culture of innovation, code quality, and continuous improvement
• Collaborate with product managers, UX designers, and customers to translate business requirements into technical solutions
• Mentor junior developers and contribute to the technical growth of the engineering team
• Participate in the entire software development lifecycle, from concept and design to testing, deployment, and maintenance
• Engage with customers to understand their needs and translate them into technical requirements

Who You Are

• 10+ years of software development experience, with a strong focus on backend systems and distributed architectures
• Extensive experience in building and scaling cloud-native SaaS platforms, preferably in the IoT or robotics domains
• Expert-level proficiency in at least one of Python, Go, Java, or C++, with working knowledge of others
• Deep understanding of cloud technologies and services (AWS, Azure, or GCP)
• Proven experience with event-driven architectures and message queuing systems (e.g., Kafka, RabbitMQ, Apache Pulsar)
• Strong background in database design and optimization, including both SQL and NoSQL solutions
• Proficiency in developing scalable WebSocket-based real-time communication systems
• Expertise in developing real-time data processing pipelines and analytics systems
• Proficiency with containerization and orchestration technologies (Docker, Kubernetes)
• Experience with infrastructure-as-code and CI/CD practices (e.g., Terraform, GitOps)
• Track record of leading development teams and mentoring junior developers
• Excellent problem-solving skills and ability to optimize complex systems
• Strong communication skills and ability to explain technical concepts to non-technical stakeholders
• Strong collaboration skills with a low ego

Nice to Have

• Experience with IoT platforms, robotics frameworks (e.g., ROS), or autonomous vehicle technologies
• Solid understanding of network protocols and communication standards relevant to IoT and autonomous systems
• Knowledge of AMQP, MQTT, DDS, or other IoT-specific communication protocols
• Experience with time-series databases (e.g., InfluxDB, TimescaleDB) for handling large volumes of sensor data
• Familiarity with edge computing and fog architectures
• Experience with real-time operating systems and embedded software development
• Expertise in building and maintaining scalable API platforms
• Experience with geospatial data processing and mapping technologies
• Knowledge of fleet management software and vehicle telematics systems
• Experience with simulation environments for autonomous systems testing

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
• Life, Short-term, and long-term disability insurance (Cyngn funds 100% of premiums)
• Company 401(k)
• Commuter Benefits
• Flexible vacation policy
• Remote or hybrid work opportunities
• Sabbatical leave opportunity after five years with the company
• Paid Parental Leave
• Daily lunches for in-office employees
• Monthly meal and tech allowances for remote employees

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You will be part of the DevOps team at Helpshift, responsible for creating, maintaining, scaling, and securing infrastructure used by many teams for critical workloads. The team works in various areas, including production and development infrastructure provisioning and maintenance, database infrastructure, automations, core infrastructure, security and compliance, and engineering processes.

Responsibilities:

• Design, implement, and maintain secure CI/CD pipelines for automating deployment, configuration, and testing processes.
• Own Helpshift production services and ensure complete monitoring coverage, troubleshoot, and fix production issues.
• Build a seamless zero-downtime process to upgrade our core infrastructure (ScyllaDB, Elasticsearch, Kafka, MongoDB, Redis).
• Collaborate with development and operations teams to integrate security practices into the software development lifecycle.
• Conduct regular security assessments, vulnerability scans, and penetration testing to identify and mitigate security risks.
• Develop and maintain infrastructure as code (IaC) templates for provisioning and configuring cloud resources securely.
• Monitor and respond to production incidents, including investigation, containment, and remediation activities.
• Stay up-to-date with the latest security threats, vulnerabilities, and best practices, and make recommendations for continuous improvement.

Requirements:

• Relevant experience of 5+ years and above.
• In-depth knowledge of running/managing UNIX-like operating systems (we use Ubuntu).
• Strong knowledge of networking protocols, security architectures, and identity and access management (IAM) principles.
• Experience with containerisation technologies (e.g., Docker, Kubernetes) and securing containerised environments.
• Experience in designing and building solutions that are highly scalable, fault-tolerant, and cost-effective.
• Experience of various FOSS tools for monitoring, graphing, capacity planning, and logging.
• Experience with IaaC tools like Ansible, Puppet, and Terraform.
• Experience with cloud computing platforms like Amazon AWS, Google Cloud Platform, and Heroku.
• Experience with managing NoSQL and RDBMS.
• Experience with queuing systems (Kafka, RabbitMQ) and Big data platforms (Hadoop).
• Good programming skills with a focus on scripting (Python, Shell, Perl).
• Ability to analyse bottlenecks in architecture and quickly debug to reach resolution for issues.
• Have an automation mindset and the ability to reason and work with complex systems.
• Excellent communication and documentation skills.
• Quick learner and good mentor for junior team members.

Benefits:

• Hybrid setup
• Worker's insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in India.

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We are seeking an experienced DevOps Engineer to join our team. As a DevOps Engineer, you will play a pivotal role in ensuring the security, scalability, and reliability of our infrastructure and applications.

Responsibilities:

• Design, implement, and maintain secure CI/CD pipelines for automating deployment, configuration, and testing processes.
• Own Helpshift production services and ensure complete monitoring coverage, troubleshoot and fix production issues.
• Build a seamless zero-downtime process to upgrade our core infrastructure (ScyllaDB, Elasticsearch, Kafka, MongoDB, Redis).
• Collaborate with development and operations teams to integrate security practices into the software development lifecycle.
• Conduct regular security assessments, vulnerability scans, and penetration testing to identify and mitigate security risks.
• Develop and maintain infrastructure as code (IaC) templates for provisioning and configuring cloud resources securely.
• Monitor and respond to production incidents, including investigation, containment, and remediation activities.
• Stay up-to-date with the latest security threats, vulnerabilities, and best practices, and make recommendations for continuous improvement.

Requirements:

• Relevant experience of 5+ years and above.
• In-depth knowledge of running/managing UNIX-like operating systems (we use Ubuntu).
• Strong knowledge of networking protocols, security architectures, and identity and access management (IAM) principles.
• Experience with containerisation technologies (e.g., Docker, Kubernetes) and securing containerised environments.
• Experience in Designing and building solutions that are highly scalable, fault tolerant and cost-effective.
• Experience of various FOSS tools for monitoring, graphing, capacity planning, and logging.
• Experience with IaaC tools like Ansible, Puppet, Terraform.
• Experience with Cloud Computing platforms like Amazon AWS, Google Cloud Platform, Heroku.
• Experience with managing NoSQL and RDBMS.
• Experience with queuing systems (Kafka, RabbitMQ) and Big data platforms (Hadoop).
• Good programming skills with focus on scripting (Python, Shell, Perl).
• Ability to analyse bottlenecks in architecture and quickly debug to reach resolution for issues.
• Have an automation mindset and ability to reason and work with complex systems.
• Excellent communication and documentation skills.
• Quick learner and good mentor for junior team members

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What you'll do

• Developing and executing strategic IT infrastructure plans, policies, and procedures that align with Synopsys' global and regional objectives.
• Overseeing the design, implementation, and maintenance of HPC Engineering infrastructure, including Compute, Citrix, Storage, Networks, and Data Centers to ensure seamless operations.

What you need

• Extensive experience (20+ years) in managing large-scale, 24x7 IT infrastructure delivery programs for global organizations.
• Deep technical expertise in HPC Engineering infrastructure—Compute, Citrix, Storage, Networks, and Data Centers.

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