About the Role

At Together.ai, we are building state-of-the-art infrastructure to enable efficient and scalable inference for large language models (LLMs). Our mission is to optimize inference frameworks, algorithms, and infrastructure, pushing the boundaries of performance, scalability, and cost-efficiency.

We are seeking an Inference Frameworks and Optimization Engineer to design, develop, and optimize distributed inference engines that support multimodal and language models at scale. This role will focus on low-latency, high-throughput inference, GPU/accelerator optimizations, and software-hardware co-design, ensuring efficient large-scale deployment of LLMs and vision models.

This role offers a unique opportunity to shape the future of LLM inference infrastructure, ensuring scalable, high-performance AI deployment across a diverse range of applications. If you're passionate about pushing the boundaries of AI inference, we’d love to hear from you!

Responsibilities

Inference Framework Development and Optimization

• Design and develop fault-tolerant, high-concurrency distributed inference engine for text, image, and multimodal generation models.
• Implement and optimize distributed inference strategies, including Mixture of Experts (MoE) parallelism, tensor parallelism, pipeline parallelism for high-performance serving.
• Apply CUDA graph optimizations, TensorRT/TRT-LLM graph optimizations, and PyTorch-based compilation (torch.compile), and speculative decoding to enhance efficiency and scalability.

Software-Hardware Co-Design and AI Infrastructure

• Collaborate with hardware teams on performance bottleneck analysis, co-optimize inference performance for GPUs, TPUs, or custom accelerators.
• Work closely with AI researchers and infrastructure engineers to develop efficient model execution plans and optimize E2E model serving pipelines.

Requirements

Must-Have:

• Experience:
  • 3+ years of experience in deep learning inference frameworks, distributed systems, or high-performance computing.
• Technical Skills:
  • Familiar with at least one LLM inference frameworks (e.g., TensorRT-LLM, vLLM, SGLang, TGI(Text Generation Inference)).
  • Background knowledge and experience in at least one of the following: GPU programming (CUDA/Triton/TensorRT), compiler, model quantization, and GPU cluster scheduling.
  • Deep understanding of KV cache systems like Mooncake, PagedAttention, or custom in-house variants.
• Programming:
  • Proficient in Python and C++/CUDA for high-performance deep learning inference.
• Optimization Techniques:
  • Deep understanding of Transformer architectures and LLM/VLM/Diffusion model optimization.
  • Knowledge of inference optimization, such as workload scheduling, CUDA graph, compiled, efficient kernels
• Soft Skills:
  • Strong analytical problem-solving skills with a performance-driven mindset.
  • Excellent collaboration and communication skills across teams.

Nice-to-Have:

• Experience in developing software systems for large-scale data center networks with RDMA/RoCE
• Familiar with distributed filesystem(e.g., 3FS, HDFS, Ceph)
• Familiar with open source distributed scheduling/orchestration frameworks, such as Kubernetes (K8S)
• Contributions to open-source deep learning inference projects.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

Your Role:

At Tenable, we are looking for curious minds dedicated to user success. If you are passionate about providing world-class support, eager to integrate AI into your daily workflow, and ready to take ownership of endpoint security, this is the role for you.

We are looking for a security-conscious IT Support Engineer with 3+ years of experience providing high-touch technical support for global, high-growth organizations. Expert in managing Windows and macOS environments via JAMF and BigFix, with a strong focus on endpoint security and vulnerability remediation. Proficient in using AI tools like Google Gemini and Claude to streamline documentation and accelerate technical troubleshooting. Dedicated to ensuring minimal downtime through proactive infrastructure support and white-glove executive service.

Your Opportunity:

• Technical Troubleshooting: Diagnose and resolve complex issues related to Windows and macOS, mobile devices, and core business applications
• Executive & Global Support: Provided high-touch technical assistance to C-suite executives and remote global staff, maintaining minimal downtime for critical business operations
• AI-Assisted Efficiency: Utilized AI tools to accelerate the creation of technical documentation and internal "How-To" guides
• Endpoint Security: Ensure all staff devices are patched, compliant, and secure at all times, often addressing vulnerability tickets directly
• User Onboarding: Provision hardware and access to Tenable’s services and Applications for new hires. Conduct IT orientation training both in person and remotely ensuring new hires are fully provisioned and trained on Day 1
• Infrastructure Support: Maintain and troubleshoot local office networks, Wi-Fi, and conferencing technologies (e.g., Zoom, Google Workspace)
• Global Collaboration: Partner with global teams in InfoSec, Networking, and Systems Operations to adhere to global IT processes
• Lifecycle Management: Managed the end-to-end hardware lifecycle, from automated provisioning via Apple Business Manager to secure decommissioning and data destruction

What You’ll Need

• Experience: 3+ years of technical support experience, ideally in a fast-paced or global high-tech environment
• OS Proficiency: Strong expertise in configuring and troubleshooting Windows and macOS environments, including VMs, Active Directory, and DNS
• Technical Stack: Hands-on experience with MSP/MDM tools like JAMF, BigFix, and ticketing system, ServiceNow
• Networking Knowledge: Solid understanding of TCP/IP, Wi-Fi, and common information security practices
• Soft Skills: Superior customer service and communication skills, with the ability to explain complex technical guidance to non-technical users
• Project Management: Ability to lead or participate in internal IT projects independently

And Ideally:

• Familiarity with AWS Workspaces, Okta, or specialized security tools like Nessus
• Certifications such as CompTIA A+, Network+, or Microsoft/Cisco credentials
• Experience working with AI tools such as Google Gemini and Claude

This is an on-site role

#LI-Office #LI-KM1

Job's mission

As a Senior Principal Engineer in Software Engineering, you will shape the software that directly powers ASM’s advanced packaging and hybrid bonding equipment. Your work will have immediate, visible impact on highly complex semiconductor systems, combining robotics, motion control, thermal systems, and process intelligence. In this role, you will lead software architecture, roadmap definition, and execution across multiple products while growing strong engineering teams and influencing global software strategy.

What you will be working on

• Define and own software development plans and roadmaps for advanced packaging solutions, delivering software across multiple hybrid bonding products in parallel.
• Lead end‑to‑end software development with a strong focus on first‑time‑right quality and robust release execution.
• Drive software architecture decisions that support long‑term business, scalability, and product evolution.
• Plan, manage, and execute multiple software baselines, ensuring on‑time delivery across complex development cycles.
• Collaborate closely with software quality teams to embed quality throughout the development lifecycle.
• Work cross‑functionally with process engineering, hardware engineering, and system integration teams to deliver tightly integrated equipment software.
• Partner with global software engineering leaders to align on software strategy, best practices, and technology direction.
• Measure, maintain, and continuously improve internal customer satisfaction.
• Build, mentor, and grow a strong team of software engineers, fostering technical excellence, ownership, and collaboration.
• Promote disciplined software baseline management, build management, and version control practices.

What we are looking for

• Bachelor’s or Master’s degree in Computer Science or a related field.
• Minimum 10 years of experience in software development and software baseline management.
• Strong hands‑on software development expertise in C++.
• Proven experience with customer‑oriented software baseline management and release planning.
• Solid background in modern software technologies and development practices.
• Demonstrated ability to drive software architecture aligned with long‑term business needs.
• Strong ownership mindset with proactive leadership and a customer‑oriented approach.
• Ability to define clear priorities, set ambitious yet realistic goals, and deliver results.
• Experience managing projects, schedules, activities, and resources effectively.
• Hands‑on experience with Jira, build management tools, and Git version control.

What sets you apart

• Experience in the semiconductor process equipment industry.
• Exposure to advanced packaging process flows such as CoWoS, SoIC, or InFO.
• Experience working in fast‑paced, customer‑driven, and rapidly evolving environments.
• Ability to handle multiple concurrent projects while meeting demanding timelines.
• Strong prioritization skills across complex and competing technical demands.

Hudson River Trading (HRT) is seeking an IT Operations Engineer to join our Information Technology team. In this role, you’ll be responsible for providing technical support to HRTers around the globe, while also driving automation and engineering solutions to improve scalability and efficiency. You’ll work closely with IT leadership to deliver projects, meet service-level objectives, and continuously improve internal processes.

We’re looking for someone who thrives in a fast-paced environment, and demonstrates strong communication and collaboration skills. The ideal candidate brings a positive attitude and a customer service mindset to deliver outstanding support to internal users, acting as their technical point of contact. This role is expected to be on-site up to 80% of the time.

Responsibilities

• Design, build, and maintain automations with code to streamline recurring IT support tasks, reduce manual toil, and improve team scalability
• Deliver responsive and in-depth technical support for end users, serving as a high-level escalation point for advanced Windows endpoint issues
• Administer and support core IT platforms and SaaS tools including Okta, Google Workspace, Jira, Microsoft 365, Slack, Zoom, and others
• Partner with Technical Procurement to ensure accurate tracking, lifecycle management, and compliance of IT assets
• Co-own the onboarding process for user accounts and hardware in your region, ensuring a seamless experience for new hires
• Maintain and improve internal documentation to serve as a resource for the IT team and broader organization
• Conduct on-site workstation support, cable management, and hardware refreshes that require movement and agility
• Frequently move between floors, offices, and technical equipment rooms
• Participate in an on-call rotation for IT support coverage, which may include occasional weekend shifts

Qualifications

• 5+ years of IT support experience in fast-paced, tech-driven environments
• Proficiency across macOS, Linux, and Windows operating systems, with strong technical intuition for diagnosing Windows performance issues, driver conflicts, and application errors
• Hands-on experience administering core SaaS platforms such as Okta, Google Workspace, Jira, Slack, and Zoom
• Familiarity with code version control systems like Git, and an understanding of developer workflows including CI/CD tooling
• Strong analytical and problem-solving skills, including the ability to identify root causes, detect patterns, and work independently
• Customer-focused mindset with a proactive, positive attitude and strong cross-functional communication skills
• Occasional travel to regional offices may be required
• Ability to lift and move equipment up to 12 kg

Working as a coder at Hudson River Trading (HRT) means working on a small, highly productive, and efficient team. You may see "trading" in our name and assume you'll be relegated to some dark corner to code for the "business," but that could not be further from the truth! 

At HRT, the code you write *is* our business, so it is everyone's job to make sure our developers have everything they need to do their jobs well.

HRT’s two main programming languages are C++ and Python. We use C++ for anything latency-sensitive that sits on the critical trading path, and we use Python for everything else. With Python, we monitor live trading, build our distributed computing platform, process large amounts of data, and write all of our internal tools.

As a Python Engineer at HRT, you’ll have an incredible opportunity to work in cutting-edge distributed compute environments at one of the top algorithmic trading companies in the world. You’ll collaborate with researchers and engineers to build high-impact products, help HRT tackle exciting new initiatives, and streamline every part of the trade cycle. 

Responsibilities

• Help us develop software that reaches every office and department at HRT while using the latest technologies and techniques in Python and software engineering to drive improvements to our systems, new and old
• HRT has many high-impact areas where we use Python; here’s what you could work on as a Python Engineer here:
• Improving job orchestration and scheduling in our huge compute cluster
• Building Python tooling and environments for all developers at HRT
• Deploying, automating, and monitoring systems for global trade management and post-trade analysis
• Building systems for hardware verification and tooling
• Writing software that supports data ETL pipelines covering all types of inputs, from market data to image and text processing

Profile

• You’re one of the top devs in your current organization, as measured by productivity, technical capability, and helpfulness to other devs
• Experience deploying and maintaining applications. You’ve managed an application from the design phase through the production phase
• Ability to look at code, figure out how it works, and identify how to make it better
• You really like to work with people who challenge you and make you better at what you do
• In your spare time you code, tinker, read, explore, break things, and have an insatiable curiosity for all things computer-related — you'll find like-minded people here

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related field
• Deep Python experience is required, daily use of most recent standards preferred
• Advanced  knowledge of the Python ecosystem, including best practices
• Superior design, debugging, and problem solving skills
• Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication

Hudson River Trading (HRT) is seeking curious, thoughtful engineers who enjoy working with data and solving real-world technical problems to join our growing Market Structure Analysis team. In this role as a Quantitative Latency Engineer, you’ll apply data-driven methodologies to understand and optimize trading technology and real-time interactions with financial markets across the globe, spanning traditional and crypto exchanges. No prior finance experience is needed!

Responsibilities 

• Analyze time series network and exchange protocol captures
• Become familiar with the details of specific markets, attend presentations and liaise with exchange counterparts
• Research exchange features, capabilities, and architecture
• Automate collection and visualization of metrics that quantify efficacy of exchange communication
• Formulate and conduct controlled experiments that measure impact of calculated changes to HRT’s trading infrastructure
• Communicate ideas, requirements, and results across disparate teams
• Improve fill rate of our hardware-based trading strategy
• Reduce incidence of cancel-reject responses
• Investigate and report details of various latency-sensitive exchanges

Profile 

• You possess a degree in Data Analytics or a related field
• You can collect and interpret network and/or financial market data
• You have professional experience in latency reduction, preferably in finance
• You have a basic understanding of proprietary trading and exchange technologies

Skills 

• Proficiency in data analytics including statistics, data visualization, and working with large data sets
• Basic understanding of TCP and UDP network protocols
• Extensive experience with Python and relevant data libraries (Pandas, Numpy/Scipy)
• Some familiarity with the details of modern computer systems and networks
• Experience with real time exchange market data and order entry a plus

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking a Deployment Engineer to join our global Systems and Network teams. In this role, you will help streamline our day-to-day data centre related work to ensure that HRT’s world-class trading environment remains resilient and high-performing. Based in Singapore, you will be on the front line for our global network infrastructure, taking ownership of maintaining the infrastructure that keeps HRT’s trading systems running 24/7.

This is an execution-focussed role that requires a get-it-done attitude and a high level of dependability. You will be responsible for hands-on infrastructure management, including hardware troubleshooting, data center deployment work and coordinating with remote hands. You will work closely with senior engineers to orchestrate deployments and resolve issues, providing an essential service allowing our engineering teams to scale.

The ideal candidate is a disciplined and proactive technologist who thrives in a high-stakes production environment. If you are a hard worker who enjoys the hands-on side of technology and is looking to make an impact within a premier global trading firm, we’d love to speak with you.

Responsibilities

• Act as the primary point of contact for remote hands and data center technicians to coordinate hardware installations and repairs
• Perform routine server and network hardware maintenance (e.g. troubleshooting, cabling work, component replacements, etc.)
• Ensure network circuits are operational, including implementing cross connects and troubleshooting with carriers on link issues
• Execute operating system installations and basic server configurations following detailed documentation
• Manage physical asset tracking and inventory across global data center locations
• Script basic solutions to automate routine checkups and operational reporting
• Work closely with the Trading Operations team to coordinate and execute scheduled maintenance activities
• Troubleshoot connectivity and hardware failures in a live production environment

Qualifications

• 1–5 years of relevant experience in a hands-on technical role preferred
• Basic network administration skillset, including the ability to log in to switches, routers, and firewalls to run basic commands
• Fundamental understanding of Linux/UNIX command line tools and basic system administration
• Practical experience with hardware troubleshooting (Servers, NICs, SFPs, and different types of cabling)
• Familiarity with basic networking concepts and circuit troubleshooting
• Experience with shell scripting (Bash) or Python for basic task automation is a plus
• Ability to follow complex technical instructions with extreme attention to detail
• Comfort working outside of standard business hours (evenings/weekends) to support a global, 24-hour trading cycle
• Strong communication skills in order to provide clear updates to stakeholders across time zones
• A disciplined approach to production environments
• Background in trading infrastructure teams or tech companies with significant data center footprint, is a plus

Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.

The Role

Your role, first and foremost, is to help our customers solve their most important problems. As a Software Engineer, this takes the form of building and deploying applications that utilize the power of our physics AI models to enable our customers to build better, faster, and cheaper.

Who We're Looking For

What a day might look like

About Akuna:

Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions and automation. We specialise in providing liquidity as an options market maker – meaning we are committed to providing competitive quotes that we are willing to both buy and sell. To do this successfully we design and implement our own low latency technologies, trading strategies and mathematical models. At Akuna we have a flat structure, where the best idea wins.

Our Founding Partners, including Andrew Killion, first conceptualized Akuna in their hometown of Sydney. They opened the firm’s first office in 2011 in the heart of the derivatives industry and the options capital of the world – Chicago. Today, Akuna is proud to operate from additional offices in Sydney, Shanghai, Singapore and London.

What you'll do as a Systems Engineer at Akuna:

We are looking for a Systems Engineer to be responsible for Akuna’s Linux server platform health. This person will participate in the design, deployment, and maintenance of our high-performance platform to support our trading environment. They will also automate daily software and hardware tasks while writing and maintaining scripts and tools. The ideal candidate will be self-motivated, proactive, and able to take ownership of projects and problems with minimal supervision. In this role, you will:

• Investigate new products and techniques to improve efficiency and performance in the environment
• Responsible for architecture and maintenance of a tier-based storage solution
• Management of Akuna’s server infrastructure at third party and local data centres
• Additional day-to-day responsibilities include system analysis, monitoring, and performance tuning, as well as additional support as required

Qualities that make great candidates:

• Bachelors, Masters or PhD with degree in Computer Science, Computer Engineering, Information Technology or a related subject
• Good English communication skills
• 4-6 years of systems engineering experience
• Advanced experience with a variety of Linux distributions (RedHat, Ubuntu ,etc.)
• Experience in managing and running services within K8s clusters
• Experience in managing a large scale AWS Cloud platform environment
• Experience in automation of daily software and hardware related tasks, Python or Bash scripting experience preferred
• Experience with build and configuration management tools (Ansible/Rundeck, Puppet, Foreman)
• Experience with system monitoring and alerting tools (Icinga/Nagios, Prometheus, Alertmanager)
• Experience in virtualization and orchestration platforms like VMware, Kubernetes and Terraform
• Experience in supporting a variety of storage platforms/protocols
• Familiarity with CI/CD pipelines and tooling
• Linux kernel and low latency performance tuning
• Knowledge of database systems, including PostgreSQL and MySQL
• Experience in troubleshooting multicast and TCP related performance issues
• Ability to diagnose and troubleshoot issues

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on Kubernetes solutions within high-performance compute (HPC) environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on scalable Kubernetes solutions
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL) 
• Experience with running large-scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes. You understand integration points between cloud solutions and enterprise IT 

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to Kubernetes clusters and workloads
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

Please note that this is a 24/7/365 team. Your shift will be 9AM - 6PM SGT.

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the Role:

As a Senior Cloud Support Engineer at CoreWeave, you'll be on the front lines of a technological revolution, empowering our customers to harness the full potential of our advanced Kubernetes-powered HPC cloud infrastructure. You'll be hands-on, collaborating with engineers and researchers to resolve issues that impact high-profile, mission-critical applications and cutting-edge AI training workloads. Your contributions will be pivotal in ensuring seamless performance, reliability, and success for our customers, positioning you at the very core of transformative technologies reshaping industries worldwide at a company that is truly one of a Kind.

In this role, you will:

• Guide and mentor team members in developing their technical skills and troubleshooting capabilities across all disciplines supported by CoreWeave.
• Provide real-time feedback and coaching, reviewing tickets to identify opportunities for improvement and ensure quality assurance (QA).
• Develop and deliver training sessions to improve the team’s proficiency and efficiency in resolving customer issues.
• Use technical expertise to investigate, debug, and resolve customer-impacting issues with the curiosity required to uncover and understand root causes.
• Maintain high customer satisfaction through swift, accurate, and empathetic high-touch support communications, as well as established best practices.
• Help design and implement troubleshooting best practices to ensure fast, accurate client resolutions.
• Contribute to refining processes, workflows, and playbooks for handling complex customer challenges.
• Serve as a technical escalation point for high-priority escalations or complex cases, modeling effective problem-solving approaches.
• Lead the creation of knowledge-sharing resources, including documentation, tutorials, and how-to guides.
• Enhance the support team’s knowledge of CoreWeave’s products and services through continuous learning initiatives.
• Includes consistent shift work with participation in on-call rotations. Occasional after-hours and holiday coverage required.

Who You Are:

• Have a Bachelor’s degree in Information Science / Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field, OR equivalent experience in a technical position
• At least 5+ years of experience in cloud support, systems administration, or related technical support-focused roles
• Proven hands-on work experience with Kubernetes
• Experience with networking, load balancing, storage volumes, observability, node management, High-Performance Computing (HPC), and Linux system administration
• Proven ability to mentor team members, foster technical growth, and improve team-wide capabilities through guidance and feedback
• Experience with observability tools such as Grafana
• Strong troubleshooting skills, with experience resolving complex customer issues and driving quality assurance through ticket reviews or similar processes
• Demonstrated success collaborating with cross-functional teams to refine workflows, implement best practices, and advocate for necessary tools or process changes
• Excellent written and verbal communication skills, with a track record of simplifying complex concepts for diverse audiences
• Strong technical presentation skills, with experience delivering precise, engaging, and informative presentations to technical and non-technical audiences, effectively showcasing complex concepts and solutions

Preferred:

• CKA Certified 
• Demonstrated experience with training, coaching, and creating onboarding materials.
• Operates in a fast-paced, global, 24/7 support team environment
• Ability to collaborate across different time zones
• On-site office environment, hybrid, or remote options depending on location
• Flexible to travel up to 10% (~25 days/year)

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to dive into problems, test for solutions, and enjoy engaging with customers.
• You’re curious about AI.
• You’re an expert in providing outstanding technical support and have strong competencies in Kubernetes and Linux.

The base salary range for this role is $100,000 to $160,000 SGD. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

#LI-DNI

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on AI/ML workloads within high-performance compute (HPC) environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on AI/ML inference
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Deep expertise  with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL) 
• Demonstrated experience with running large scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes. You understand integration points between cloud solutions and enterprise IT 

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to AI/ML workloads
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $165,000 to $225,000 SGD. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

#LI-DNI

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

Our Equity Options team is looking for a Trading Systems Engineer (TSE) to provide high performance, mission critical support for our proprietary trading systems. The role is to maintain a healthy trading environment and provide on-the-floor technical support. The TSE will also work on longer-term engineering projects collaborating closely with traders, researchers and developers to ensure maximum trading profitability by contributing to scalable, efficient, performant, clean systems and well-defined workflows. The TSE will coordinate with operations, business liaisons and infrastructure teams to communicate with exchanges, brokers and other external parties to ensure a stable and efficient environment for our option trading strategies.

What you’ll be working on:

• Work as part of a team to establish best-in-class production support, efficient software deployment, configuration processes and proactive monitoring, with the goal of anticipating and avoiding issues before they occur, minimizing downtime and recovering quickly from any incidents
• Understand and potentially develop proprietary process automation and monitoring tools and leverage third-party technologies as appropriate
• Troubleshoot trading system production incidents resulting from internal (proprietary software/systems) or external factors (markets, data feeds, telecommunication lines) in time-critical situations.
• Understanding Option Trading in the APAC region to best enable trading
• Coordinate efforts with European and US Option trading teams to share best practices and ensure continuity and consistency of support in a 24x7 environment
• Understand exchange data center layout and hardware infrastructure to optimise our setup and configuration

Qualifications & Skills:

• 1-3 years working trade support, site reliability engineering or related fields
• Bachelor’s degree in STEM field, ideally computer engineering related
• Basic networking knowledge, including TCP/IP, DNS, DHCP and common network troubleshooting tools
• Strong problem-solving skills and the ability to troubleshoot technical issues under pressure
• Excellent communication skills, both written and verbal for audiences of varying backgrounds
• Thrives in high-pressure situations while working alongside traders, developers and other engineering teams
• Knowledge of Linux/Unix environments
• Knowledge of database usage (SQL, NoSQL, Postgres)
• Experience with scripting languages (e.g. Python, Bash, PowerShell) for automation tasks
• Experience with Distributed Systems
• Strong understanding of modern DevOps and CICD
• Experience with using and/or building Restful web services
• Experience with web development technologies (e.g., Javascript React.js, Vue and CSS3)

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-PR1] 

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

DRW is looking for an outstanding Software Engineer with an expertise in C++ to work in our Singapore office. In this role, you will be a part of our Core Infrastructure team which is responsible for designing, developing and maintaining DRW's low latency trading platform which is deployed global.  You will be tasked with working on various areas of the technical stack including order routing, market data, and risk systems.  

To qualify for this role, you:

• Minimum of 5 years of experience working developing high-availability systems in C++ with very tight resource/latency constraints
• Have a background in multi-threaded programming and a strong understanding of hardware/software interaction
• Are comfortable working “under the hood” and you are quite skilled in performance tuning (applications, Linux, socket I/O, etc.) and troubleshooting
• Have experience working with C++ libraries like STL and Boost
• Are up to date on the C++23 standards and have opinions about them
• Have worked on challenging projects that involved things like building a custom compiler, writing a matching engine, or working with large amounts of data in real time
• Have strong English verbal and written communication skills

Bonus points if you have:

• Experience working in the trading industry or another ultra-low latency sensitive business that involves solving remarkably complex problems
• Experience working with Research teams and Quants
• Experience working within gaming or streaming
  
  

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-MM1

Who We're Looking For

As a Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used.

You’ve shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools and make pragmatic product decisions that set Delivery up for success. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products.

With at least 3 years industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.

This Role 

As a machine learning engineer, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes.

You'll:

• Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time‑series forecasting, anomaly detection, optimization & control) to customer production environments.
• Communicate results and trade‑offs to senior stakeholders; steer roadmaps and influence product direction with evidence.
• Lead scoping and architecture design for data/ML systems; define success metrics, delivery plans and quality bars.
• Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others.
• Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision‑making under pressure.
• Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site.
• Own the scoping of new projects and work-streams with existing customers and taking part in bringing new customers to PhysicsX.

As an early member of the team, you’ll significantly influence our technical direction and will be involved in shaping future solutions and products, while developing your skills as a technical leader.

Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey! 

SR. SUPPLIER DEVELOPMENT ENGINEER (STARLINK)

SpaceX is leveraging our experience building rockets and spacecraft to deploy Starlink, the world’s largest satellite constellation and most advanced broadband internet system. We provide reliable and fast internet to millions of users worldwide, including populations with little or no connectivity, rural communities, aircraft, watercraft, and places where existing services are unreliable, too expensive, or disconnected by natural disasters. We design, build, test, and operate all parts of the system, thousands of satellites and consumer antennae that allow users to connect within minutes of unboxing. The Starlink team is seeking out the best-in-class professionals to maximize Starlink’s potential for communities and businesses around the globe.

This is a high-profile, cross-functional position that plays an integral role in enabling development and production flow of Starlink user terminals. You will work in close coordination with internal engineering and manufacturing departments as well as directly with suppliers to execute effective, creative, and smart supply chain strategies to achieve production goals. With integration taking place in-house, supplier development engineers are able to see their assemblies come to life every day!

RESPONSIBILITIES:

• Improve quality, cost, delivery, and capacity metrics for mechanical hardware used in Starlink user terminals
• Collaborate with design, materials, and manufacturing engineers to gain an in-depth knowledge of piece part, assembly, metrology, and/or sub-system design intent
• Support the procurement team to strategically source parts matched with supplier competencies by reviewing and assessing supplier manufacturing processes and quality systems
• Create and define supplier technical and quality requirements based on customer and program requirements and expectations for NPI and production phases
• Lead resolution of supplier quality issues through root cause analysis, while functioning as liaison between purchasing, engineering, production, and suppliers
• Define product technical requirements, and ensure supplier compliance with these requirements
• Implement and monitor the production part approval process (PPAP) with selected suppliers to enable rate production
• Analyze supplier quality and delivery metrics to identify trends and pinpoint systemic performance gaps and root causes to drive supplier improvement plans
• Conduct independent research to identify potential new suppliers and capabilities in manufacturing and metrology
• Identify and drive product & process improvements to lower part cost, reduce supply risk, eliminate potential defects, and improve cycle time
• Effectively manage mission-critical supply chain by establishing excellent working relationships and regular lines of communication with suppliers
• Demonstrate a strong sense of ownership, proactivity, technical excellence, creativity, self-direction, and courage
• Collaborate with teams, lead projects, and continuously drive improvement in the supply base

BASIC QUALIFICATIONS:

• Bachelor’s degree in an engineering discipline
• 6+ years of experience in one of the following: supply chain engineering, supplier development/quality, manufacturing, design engineering

PREFERRED SKILLS AND EXPERIENCE:

• Master’s degree in and engineering discipline, business, or supply chain
• 10+ years of experience in one of the following: supply chain engineering, supplier development/quality, manufacturing, design engineering
• Proven track record of taking ownership of projects, negotiating successfully to reduce costs, and influencing engineering customers to drive results
• Knowledge of statistical techniques and methods (design of experiments, Six Sigma, etc.)
• Proficiency in Geometric Dimensioning and Tolerancing (GDT) principles and applications
• Knowledge of metrology tools and techniques for measuring and characterizing mechanical parts
• Knowledge of lean, production, and supply chain concepts
• Exceptional analytical, problem-solving, time management, and organizational skills
• Ability to act quickly in a fast-moving and high-stress environment

ADDITIONAL REQUIREMENTS:

• Must be willing to work extended hours and weekends as needed to meet critical deadlines
• Ability to travel: Up to 50% work week travel may be required
• Valid driver’s license

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You'll Be Doing:

• Contribute to the development and implementation of advanced perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data
• Connect and drive business impact through technology solutions
• Design and implement sensor fusion algorithms to combine data from multiple sensors to create a robust and accurate perception system
• Optimize perception algorithms for real-time performance on embedded hardware
• Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems
• Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems
• Productionize and deploy solutions onto autonomous vehicle fleets
• Derive good insight from large data sets from a variety of sources
• Mentor and guide junior engineers on the team

What We're Looking For:

• Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience with designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
• Excellent communication and interpersonal skills
• Experience mentoring and leading others

Preferred, but not required:

• Strong programming skills in C++ and/or CUDA programming
• Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
• Experience with launching ML products from ideation
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• Experience in deploying models into real-world environments

As the Principal Engineer for Cloud Applications in Singapore, you will define the technical roadmap for the platforms that manage and update our autonomous fleet: Command Center and OTA Updates. Moving beyond a Staff-level focus on specific features, you will architect the entire Fleet Management ecosystem to support a 100x scale in global commercial operations. You will bridge the gap between high-scale cloud portals and on-vehicle robotics systems, while establishing the industry standard for SDLC maturity across the group.

What you'll be doing:

• Lead the design and scaling of the Command Center (React/Golang/Python) to support massive growth in fleet size and geographic complexity. You will ensure the platform remains responsive and reliable as it transitions to a high-frequency, commercial-ops portal.
• Own the architectural interface between cloud-based deployment services and on-vehicle hardware. You will oversee the development of C++ and Python services that manage mission-critical updates, ensuring safe, atomic, and verifiable deployments to robotics hardware.
• Elevate the team from high-velocity to high-reliability. You will design and implement organization-wide standards for automated testing, CI/CD safety, and release orchestration, ensuring that every deployment is a non-event.
• Architect the Commercial Ready versions of our fleet tools, ensuring they are decoupled from legacy R&D dependencies and ready for rapid deployment into new global markets and partner ecosystems (e.g., Uber).
• Act as a force multiplier across the Singapore office. You will provide technical mentorship to Staff and Senior engineers, bridging the gap between Cloud, Robotics, and Embedded teams to solve complex, cross-stack architectural challenges.

What we're looking for:

• Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 12+ years of professional software engineering experience, with a track record of leading major technical initiatives that impact multiple teams.
• Expert-level proficiency in Golang and Python for backend services, with a deep architectural understanding for large-scale, real-time operational portals.
• Strong technical depth in C++, with experience in hardware-software communication, IoT messaging protocols, or robotics update mechanisms.
• Proven ability to transform the engineering culture of a group, moving from manual or high-friction processes to a state of high automation, reliability, and test coverage.
• Experience in designing new software systems from the ground up using event-driven architecture (EDA) to ensure high scalability, decoupling, and real-time responsiveness.
• Expert at balancing immediate commercial requirements with the long-term technical health and hardening of mission-critical systems.
• Strong experience with major cloud providers (AWS/GCP/Azure) and a solid understanding of containerization and Infrastructure-as-Code principles.

Bonus points (not required):

• Prior experience in the Autonomous Vehicle, Robotics, or large-scale IoT/Fleet Management industries.
• Experience leading technical projects in a globally distributed team.
• Experience with OLAP databases (e.g. ClickHouse) or building observability tools for monitoring and tracing.
• Proven expertise in CI/CD orchestration, build systems (Bazel), frameworks

Mission Summary:

We are seeking an experienced and visionary Principle Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services.

You will be a hands-on leader, blending deep technical expertise in ML systems and performance optimization with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvement.

What you'll be doing:

• Team Leadership & Management:
• Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration.
• Provide technical guidance, mentorship, and career development opportunities to team members.
• Foster a collaborative and inclusive team environment.
• Define team goals, priorities, and roadmap in alignment with company objectives.
  
  
• Technical Strategy & Execution:
• Define the technical vision and strategy for ML acceleration across the organization.
• Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training, including but not limited to data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.
• Design, develop, and implement scalable and efficient ML acceleration solutions.
  
  
• Cross-functional Collaboration:
• Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly.
• Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.
• Act as a technical expert and advocate for ML acceleration initiatives across the company.
  
  
• Impact & Measurement:
• Regularly measure and report on the impact of acceleration efforts.
• Continuously seek opportunities for further optimization and innovation.
  
  

What we're looking for:

• Experience:
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
• 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems and model performance optimization.
• 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams.
• Extensive experience with large-scale ML model training and deployment, ideally in a production environment.
• Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure).
  
  
• Technical Skills:
• Deep expertise in ML frameworks such as PyTorch or JAX.
• Proficiency in performance profiling and optimization techniques for Deep Neural Networks.
• Strong programming skills in Python; C++ experience is a plus.
• Knowledge of MLOps principles and practices.
  
  
• Leadership Skills:
• Exceptional leadership, communication, and interpersonal skills.
• Ability to attract, hire, and retain top engineering talent.
• Proven ability to drive complex technical projects from conception to completion.
• Strong problem-solving skills and a proactive, results-oriented mindset.
• Ability to thrive in a fast-paced, dynamic environment.

About the Position

We are looking for an experienced Data Centre Engineer who can help our team keep Jane Street’s data safe and accessible around the clock, which will involve a mix of hands-on work in our data and colocation centres, process thinking and project management. 

Your work will mostly involve designing, building, scaling and performing daily upkeep in our regional data and colocation centres. You’ll also get to collaborate with really talented people from all different areas of expertise across Jane Street to optimise our data environments and prevent major problems before they happen. 

You will join an interdisciplinary team made up of several groups across Jane Street, including our Network, Server, Facilities Engineering, Market Data and Trading teams, along with some external data centre operators, colocation and smart hands service providers, and cabling, hardware and telco vendors. Together, you will:

• Design plans for new equipment deployments using data centre best practices
• Coordinate logistical tasks across locations, including procurement, shipping, moving and keeping inventory of our equipment, cabling and parts
• Install and configure server OS in a PXE environment (fundamental Linux knowledge is required to deploy our network equipment)
• Install, cable, configure and troubleshoot different types of network and server equipment
• Ensure that all our data centres uphold the highest standards in terms of security, organisation, documentation, safety, cleanliness and supply management

This role provides on-location services that are crucial to our daily operations in Singapore, as well as impact the operations of our remote locations across Asia. 

About You

While there’s no fixed set of skills required for this role (we can teach you what you need to know), here are some of the things we’re looking for:

• Ideally 5+ years of experience working in a data centre environment with a strong understanding of data centre best practices, cabling methodology and managing vendors
• A self-starter mindset; someone who takes initiative, gets the job done and is always on the lookout for ways we can do things better
• A clear communicator with excellent people and project management skills
• Knowledge of networking fundamentals; including how to switch and routing protocols and troubleshoot Layer 2 and 3 connectivity issues
• Proficiency in a Linux environment (Scripting skills in Bash or Python are a plus)
• Experience deploying a variety of server and network hardware (e.g., Dell, Cisco, Arista, Ciena, Corning, Ortronics products)
• Ability to design, deploy, test and troubleshoot both copper and fibre cabling
• Willing to travel 2-4 weeks per year and work some evenings and weekends; we’re happy to negotiate a flexible schedule that feels healthy and fair to you (e.g. when you work until 8pm you arrive later in the mornings, etc.)
• Fluent in English; ability to speak other Asian languages (e.g., Cantonese, Mandarin or Japanese) is preferred

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

About the Position

We are looking for a Unified Communications Engineer to help grow, monitor and manage our global voice and video infrastructure. This role sits within our larger IT group and will require you to deliver smart solutions in a fast-paced environment without disrupting the daily workflow.

The Unified Communications team is responsible for end-user setup (devices and profiles), asset management and all infrastructure related to collaboration and telephony. Our projects include improving tooling and monitoring, refreshing hardware for meeting rooms and executing software and hardware configuration changes globally, while minimising downtime for various collaboration services. 

Our UC Engineers are experts at multitasking, monitoring alarms generated by our voice and video systems and juggling project-related tasks, all while serving as an escalation point for users and other technology groups. You’ll interface daily with different tech teams across the firm — IT Operations, Cybersecurity and Networking — to provide capacity planning, develop standards and best practices and improve documentation across our global UC infrastructure. 

The right candidate will be passionate about solving complex problems and supporting users with robust and flexible technical solutions. 

About You

• Have 7+ years of in-depth experience configuring and supporting the Cisco UC and Collaboration Product Suite in a multi-cluster environment, including: 
  • Cisco Unified Communications Manager versions 12.5+
  • Cisco Meeting Server
  • Cisco Expressway
• Have excellent knowledge of SIP, including implementing Session Border Controllers and PSTN SIP trunking
• Understand UC compliance products, and have experience with modern voice recording platforms (Verint, Nice, Calabrio, etc.) and messaging archiving products (Movius, LeapXpert, Smarsh, etc.)
• Have a working knowledge of Cisco APIs related to UC products, and experience with creating API automations using Python, PowerShell, etc. 
• Experienced with upgrading and maintaining Cisco UC products, including supporting phones, softphones and video conferencing endpoints 
• Experienced with integrating cloud-based conferencing technologies (Webex, Zoom, Teams, etc.) to on-premise infrastructure
• Able to collect and interpret log files, collaborate with support partners to solve problems while maintaining system stability and properly manage expectations with colleagues and users
• Familiar with the virtualisation of Cisco UC applications on enterprise-grade servers (HPE, Dell, Cisco, etc.) 
• Have a strong understanding of current security standards and expectations, and the ability to troubleshoot and use creative thinking to resolve issues
• Fluent in English; fluency in Mandarin is preferred

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com. 

About the Position

We are looking for an experienced Network Engineer to join our Network Security team to help us run, scale, and continuously improve our network security infrastructure through hands-on operations, design, and implementation. The ideal candidate will have strong networking fundamentals and experience with security appliances such as firewalls and proxy.

Jane Street’s numerous distributed systems are built on an agile, reliable, multi-vendor network infrastructure that supports all traffic profiles, from trading to internet connectivity. Supporting such a large multi-function network requires advanced tooling for monitoring and automation. 

Strong communication and interpersonal skills will be needed to collaborate with colleagues across the firm globally. You will find and resolve issues, plan and execute deployments, and improve systems where possible. We’ll also look to leverage your advanced networking skills and security knowledge to: 

• Work closely with our Network Engineering team on the design and deployment of security perimeter and adjacent network infrastructure
• Manage and continuously evolve network segmentation, DMZ, and other aspects of network security
• Evaluate and lab test new platforms for our network security infrastructure
• Collaborate with our Cybersecurity team on the detection and mitigation of threats and vulnerabilities on our network
• Interface with application owners and traders to enable business workflows securely
• Proactively enhance support by improving network infrastructure observability and scripting, and communicating requirements to our software engineers
• Improve our network security processes and documentation

A holistic approach to system design is critical for this role. Our broader Networking team prioritizes flexibility, compatibility, and efficiency when crafting solutions, all while seeking ongoing buy-in and feedback from users across the firm. Our firm’s culture prizes intellectual humility, openness, and continuous improvement, which translates directly to the daily work of this team. We’re all partners working toward shared goals and are always looking for the next best idea that will make our work stronger. 

Your strong communication skills and analytical thinking will be invaluable as we support the daily work of our colleagues and keep our systems operating at the highest standard.

About You

• Have 7+ years of experience operating and deploying network infrastructure
• Experienced with routing and network protocols (OSPF, BGP, PIM-SM)
• Experienced with troubleshooting transport protocols (TCP/UDP)
• Have a strong understanding of firewall hardware architecture, performance metrics, and functional components
• Experienced with firewall configuration and troubleshooting
• Understand Public Key Infrastructure and related technologies
• Understand modern encryption techniques
• Have a high capacity to learn; we are interested in how you think, not just what you know
• Able to context-switch, while still being able to prioritize and organize your stack 
• Ideally have experience with overlay networks (EVPN, VxLAN)
• A flexible and reliable team player who enjoys working in a collaborative environment
• Preferably have proficiency in a programming language
• Fluency in English required

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

Who We’re Looking For

This Role

• The right candidate will be a self-starter who assumes full ownership of DV tasks and delivers high-quality results.
• Develop test plans at block, sub-system, and chip level.
• Execute SoC-based verification at full-chip and module level verification. Focus on Display subsystem (GPU, Display Controller), Radio Subsystem, SoC integration verification. 
• Experience in ARM or RISC-V based micro-controllers.
• Power-aware methodology (CPF/UPF).
• Write C-based lib packages and tests.
• Architect and implement scalable and reusable module test benches using SystemVerilog and UVM.
• Develop comprehensive test cases, stimulus generation, and checkers to achieve high coverage.
• Automate the test environment for randomized testing and score-boarding.
• Utilize advanced debugging techniques to identify and resolve design and verification issues.
• Perform root-cause analysis and work with design teams to fix identified issues.
• Define and track functional and code coverage metrics to ensure thorough verification.
• Ensure that verification quality meets or exceeds industry standards and project requirements.
• Edge-based AI inference is preferred.

• BSEE/MSEE with 10+ years of experience (seniority depends on years of experience) in block, sub-system, and full-chip verification.
• Technologies: Experienced in ARM M/RISC-V (Preferred) SoC Verification, expert in AMBA AXI/AHB/APB, DMA, Flow Control, Serial Devices, Low Power (CPF/UPF) Verification, 3rd party IP integration verification.
• Experience in Display, Audio domains is a plus.
• Languages: Strong in SystemVerilog (UVM), Verilog, C/C++, Python, Perl, or Makefile.
• Should have delivered multiple chips functioning to specification.
• Identify and manage verification deliverables, milestones, and schedules.
• Proactively identify potential verification risks and develop mitigation strategies.
• Collaborate with design, architecture, and software teams to understand and verify design intent.
• Communicate verification progress, issues, and results to stakeholders and management.
• Strong in understanding multiple architectures, integrating 3rd party IPs/VIPs, and working with mixed-signal designs with low-power design and verification challenges.
• Strong understanding/exposure to Design Verification for low-power battery-operated designs is highly desired.
• C-based verification in an SoC environment is required.
• Experience with ARM processor-based designs and low-power design techniques is a plus.

Role Summary 

This role is an opportunity to work with a high-agency startup team operating in the hard-tech and energy systems space. You will play a critical role in designing, building, and scaling the backend systems that power Amperesand’s ERP platform and its integration with factory software, analytics, and operational software systems. 

This is a hands-on role. You will architect and deliver production-grade backend services that support high-concurrency, high-availability workloads across manufacturing, inventory, supply chain, work orders, and enterprise operations. The backend in this role will serve as the connective layer between ERP capabilities and factory software execution, while also enabling intelligent systems that support automation, decision support, operational analytics, and future AI-driven workflows. The role requires close collaboration with frontend, product, AI, and domain expert teams — along with a strong sense of ownership, systems thinking, and pragmatism in building reliable software for real-world operations. 

Responsibilities:

• Own the design, architecture, and implementation of backend systems for Amperesand’s ERP platform and its integration with factory software, analytics, and operational platforms. 

• Build and scale high-concurrency, high-availability services in Go to support mission-critical manufacturing and business workflows. 

• Design backend systems that connect ERP workflows with factory software domains such as inventory management, supply chain operations, work order execution, production tracking, and enterprise reporting. 

• Build robust APIs, service interfaces, and data models that enable frontend applications, analytics systems, internal tools, and third-party enterprise integrations.  

• Develop backend capabilities for workflow orchestration, machine and system integrations, telemetry ingestion, operational event processing, and reporting.  

• Build services that connect shop-floor execution with ERP-oriented workflows such as material tracking, inventory state, work order status, fulfillment processes, and supply chain visibility.  

• Design and support intelligent systems that enable automation, contextual recommendations, operational insights, and AI-assisted workflows across ERP and factory software platforms.  

• Build distributed systems that are reliable, observable, and resilient under production load. 

• Optimize backend performance across service latency, throughput, data access patterns, and system resource utilization.  

• Collaborate closely with frontend, product, and domain teams to translate operational requirements into scalable backend architectures.  

• Drive best practices for service reliability, fault tolerance, testing, deployment, and maintainability.  

• Contribute to technical strategy and architecture decisions across backend, infrastructure, data, and platform layers.  

• Mentor other engineers through code reviews, design reviews, and strong engineering standards.  

• Leverage AI-assisted development tools where useful to improve engineering velocity, code quality, and developer productivity.  

• Document service designs, architecture decisions, and tradeoffs for cross-functional stakeholders. 

Qualifications:

• 7+ years of experience in backend or distributed systems engineering, including production deployments in scalable environments.  

• Strong experience with Go and building production backend services.  

• Proven experience designing systems for high concurrency, high availability, and fault tolerance.  

• Experience building backend platforms for ERP, MES, factory software, analytics, workflow engines, or other enterprise/business-critical software.  

• Strong understanding of API design, microservices, distributed system patterns, and asynchronous/event-driven architectures.  

• Experience with databases and data systems such as PostgreSQL, Redis, MQTT, NATS, ClickHouse, or similar technologies.  

• Familiarity with real-time data processing, telemetry pipelines, and backend systems that support dashboards, reporting, and analytics.  

• Experience with observability and production operations, including logging, metrics, tracing, alerting, and incident debugging.  

• Familiarity with cloud infrastructure and containerized deployment environments such as AWS, Kubernetes, and Docker.  

• Strong testing discipline across unit, integration, and end-to-end service validation.  

• Comfortable working with AI coding tools such as Copilot, Cursor, Claude, or similar tools to supplement and accelerate development.  

• Proficiency in English and ability to communicate effectively with wider teams.  

• Ability to travel up to 20%, including international 

Bonus Qualifications:

• Background in energy engineering systems (power systems, energy storage, power electronics, or controls). 

• Experience in manufacturing, industrial automation, supply chain, inventory managment, energy systems, or other operational technology domains 

• Experience designing systems that integrate with machines, PLCs, IoT devices, or external enterprise platforms. 

• Experience with MES, digital twins, or asset health monitoring. 

• Experience working within or building design systems.  

• Experience building backend platforms that support AI-enabled workflows, data capture, or operational intelligence systems.  

• Familiarity with CI/CD workflows and software DevOps practices. 

• Experience working with hardware, firmware, or operations teams. 

• Open-source contributions to backend projects a plus. 

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options. 

Service desk engineer

Important Information

Location: Singapore

Job Summary

As a service desk engineer you will be responsible for fulfilling service requests, including hardware and software installations, configurations, and upgrades. Identifying and resolving root causes of technical issues, implementing permanent fixes to prevent recurrence. Providing exceptional customer service, ensuring that customer needs are met and expectations are exceeded.

Skills :

A-Levels/Diploma/Degree in Business, Technology, or a related field.

Minimum 1-3 years of experience in service/help desk, technical support or customer service for institutional customers within financial services or payment industry

Good understanding of basic computer hardware, software and network concepts

Possess strong communication, problem-solving and interpersonal skills.

Attention to detail and willingness to learn

Rotational shifts.

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

The Role

We are seeking an experienced Senior Platform Support Engineer to join our Trade & Platform Support Engineering team in Singapore. You will be part of a global group that delivers front-line support for our proprietary quantitative-trading platform. Working alongside colleagues in the UK and the US, the team provides follow-the-sun coverage—24/7 monitoring and support of Schonfeld’s trading environment—while partnering closely with Development, Infrastructure, and Networking teams to ensure the platform’s connectivity, hardware, and software remain reliable, maintainable, and high-performing.

What you’ll do 

• Serve as the first point of contact for production issues, support requests, and alerts.
• Investigate and resolve incidents or outages in real time, escalating when necessary.
• Collaborate with Infrastructure and Networking teams to monitor connectivity and hardware across the investment platform.
• Work directly with Portfolio Managers on project work and ad-hoc support requests.
• Manage regional Change Control and lead Incident Management processes.
• Partner with software-development teams to ensure smooth deployment of new code to production.
• Automate recurring processes and workflows, and build internal tooling to improve efficiency and system resilience.

What you’ll bring
What you need:

• At minimum, five years of experience in financial services supporting trading and post-trade systems
• Experience in managing large scale deployments/environments
• Experience supporting applications in a Linux environment
• Strong scripting skills – Python, Bash, Shell, Perl
• Experience developing tools and/or automating processes
• Experience with supporting FIX protocol
• An understanding of monitoring, and performance management
• Excellent verbal and written communication skills
• Strong ownership experience and a track record of delivering results
• A degree in Computer Science, Engineering, or a related field

We’d love if you had:

• Experience performing FIX certification/onboarding
• Experience with NFS and GPFS file systems
• Knowledge of storage devices
• Experience with application monitoring systems such as ITRS Geneos
• Experience with Control-M job scheduling
• Knowledge of q and kdb+
• Experience with AWS
• Experience with Docker

Our Culture 

At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

Who we are

Schonfeld Strategic Advisors is a multi-manager platform that invests its capital with Internal and Partner portfolio managers, primarily on an exclusive or semi-exclusive basis, across four trading strategies; quantitative, fundamental equity, tactical trading and discretionary macro & fixed income. We have created a unique structure to provide global portfolio managers with autonomy, flexibility and support to best enable them to maximize the value of their businesses.

Over the last 30 years, Schonfeld has successfully capitalized on inefficiencies and opportunities within the markets. We have developed and invested heavily in proprietary technology, infrastructure and risk analytics and continue to capitalize on new opportunities. In 2021 we launched our newest strategy, discretionary macro & fixed income as part of the continual growth of Schonfeld’s investible universe. Our portfolio exposure has expanded across the Americas, Europe and Asia as well as multiple asset classes and products. 

#LI-TJ1

We are seeking a skilled Computer Vision Engineer. This role is pivotal in advancing robotic systems through high-fidelity spatial mapping and real-time object recognition. You will work closely with cutting-edge technology to integrate vision systems with robotic manipulation and navigation, to enhance automation capabilities.

Responsibilities:

• Implement high-fidelity spatial mapping and real-time object recognition pipelines.
• Integrate vision systems directly with robotic manipulation and navigation controls.
• Train and fine-tune Vision-Language-Action (VLA) models.

Required Skills:

• Proficiency in 3D Gaussian Splatting, NeRFs, and modern SLAM algorithms.
• Experience with multimodal spatial AI frameworks.
• Previous work integrating computer vision outputs with ROS2 or robotic hardware.

We are searching for a Humanoid Robotic Engineer specialized in bipedal locomotion and manipulation. This role involves designing and implementing sophisticated control algorithms, with a focus on Reinforcement Learning, to enhance the performance of robotic systems both in simulation and real-world applications.

Responsibilities:

• Develop and implement advanced control algorithms for bipedal locomotion and manipulation.
• Train Reinforcement Learning (RL) policies in simulation and deploy them on physical hardware.
• Conduct sim-to-real transfer and analyze gait/kinematics telemetry.

Required Skills:

• Strong background in Model Predictive Control (MPC) and Whole-Body Control.
• Extensive experience with robotic simulation environments (e.g., NVIDIA Isaac Sim, MuJoCo).
• Familiarity with modern RL frameworks.

We are looking for an AI Specialist Engineer to enhance the performance of large language and vision models for on-device inference. Your expertise will be crucial in developing and deploying cutting-edge AI solutions, ensuring optimal efficiency across diverse hardware architectures.

Responsibilities:

• Compress and optimize large language and vision models for on-device inference.
• Develop pipelines for model distillation and hardware-specific compilation.
• Benchmark performance across various NPU/GPU architectures.

Qualifications:

• Expertise in model distillation, pruning, and 4-bit/8-bit quantization techniques.
• Hands-on experience with TensorRT, ONNX Runtime, and edge deployment.
• Strong C++ and Python skills.

Role

As a Software Engineer specializing in Simulation, you will collaborate with senior engineers to build and maintain high-fidelity simulation environments using Gazebo. You will be responsible for implementing features, creating assets, and running validation tests to ensure our digital twins accurately reflect real-world physics and hardware. You will work closely with the simulation and robotics teams to support the development of the Flowstate platform, ensuring that our tools are reliable and efficient for internal and external developers.

How your work moves the mission forward

• Develop and maintain simulation assets and environments using Gazebo and ROS.
• Implement software features that bridge the gap between simulation and physical robot behavior.
• Create and execute automated tests to validate robotic software performance in simulated environments.
• Collaborate with senior engineers to optimize simulation infrastructure for scalability and speed.
• Document technical workflows and contribute to the internal knowledge base for simulation tools.
• Maintain and contribute to the development of open source software.

Skills you will need to be successful

• Bachelor’s or Master’s degree in Computer Science or Robotics, or equivalent practical experience.
• 2 years of experience in robotics software development or simulation.
• Proficiency programming in C++ and Python.
• Experience with the Gazebo simulator and ROS.
• Familiarity with physics engines (e.g., Dart, Bullet, ODE, MuJoCo).

Skills that will differentiate your candidacy

• Experience with Universal Scene Description (USD) and Simulation Description Format (SDF), and Unified Robotics Description Format (URDF).
• Familiarity with Entity-Component-System (ECS) architecture for game or simulation development.
• Knowledge of 3D modeling or computer graphics.
• Experience with sensor data or synthetic data generation.
• Experience with cloud platforms (e.g., GCP) for running automated tests or simulations.
• Background in developing plugins for open-source robotics projects.
• Experience working with version control systems and CI/CD pipelines.
• Experience creating interfaces for front end user facing tools.
• Willingness to travel domestically and internationally.

Who We're Looking For

As a Principal Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used.

You’ve shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools and make pragmatic product decisions that set Delivery up for success. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products.

With at least 3 years industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.

This Role 

As a Principal MLE, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes.

You'll:

• Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time‑series forecasting, anomaly detection, optimization & control) to customer production environments.
• Communicate results and trade‑offs to senior stakeholders; steer roadmaps and influence product direction with evidence.
• Lead scoping and architecture design for data/ML systems; define success metrics, delivery plans and quality bars.
• Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others.
• Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision‑making under pressure.
• Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site.
• Own the scoping of new projects and work-streams with existing customers and taking part in bringing new customers to PhysicsX.

As a senior member of the team, you’ll significantly influence our technical direction and will be involved in shaping future solutions and products, while developing your skills as a technical leader.

Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey! 

The Role

Your role, first and foremost, is to help our customers solve their most important problems. As a Senior Forward Deployed Software Engineer, this takes the form of building and deploying applications that utilize the power of our physics AI models to enable our customers to build better, faster, and cheaper.

Who We're Looking For

What a day might look like

**Due to limited quota, Singaporeans and Permanent Residents may apply.**

About the role

10x Genomics was founded to deliver powerful and reliable tools that fuel key scientific discoveries and drive exponential progress in our mastery of biology to advance human health. Our talented team has a distinguished record of creating innovative instruments, reagents, and software that analyze biological systems at a resolution that matches the complexity of biology.

We are looking for a Technical Lead to join our Instrument Software team.

You have expert-level knowledge of creating advanced instrument control software with C, C++, Python and/or Rust. You handle asyncio, threading, multiprocessing and interfacing with low-level drivers, firmware & hardware with ease. You understand the power and flexibility Python brings, but also its limitations. You are a stickler for testing and thrive on creating a clean and maintainable codebase.

You are the engineer that other engineers can count on; you are technically excellent, you attack every problem with enthusiasm, you care deeply about what it takes to build high quality software. You are a self-starter, team player, have the hunger to venture quickly into unknown areas, code and make the system work.

What you will be doing

• Design and develop production software for 10x instruments
• Design and develop diagnostics tools for fleet monitoring employing AI 
• Architecture and system design of next generation instruments
• Long-term evolution of our instrument codebase
• Hiring and mentoring of local team members in Singapore

Minimum requirements

• Bachelor's degree in computer science, engineering, math, or scientific discipline with 8+ years experience; OR Master’s degree with 6+ years of experience in software development
• Minimum experience of 3 years leading software team(s) in a technical capacity
• Instrumentation system design & architecture
• Modern C++
• Embedded Development
• Python3
• Linux
• Use of AI tools for software development life cycle

Preferred skills and experience

• Control Systems Development
• Firmware Development & EE knowledge (Digital & Analog Design)
• Rapid software prototyping & validation with attention to detail and engineering diligence
• Strong analytical and problem-solving skills
• Strong verbal and written communication skills
• Familiarity with AI aided software development practices and integrating AI into existing tooling.
• Background in biology and DNA sequencing is not required. Interest in the field is.

#LI-RT1

#LI-Onsite

Available locations: Singapore

What you’ll do as a Manager, Solution Engineering

You are the team enabler, point of reference and coach. You will work closely with our prospects and customers by shadowing and improving your team’s technical expertise. You will take care of new team members and you will ensure work loads are equally distributed within the team. You are personable and can provide constructive feedback when necessary. You will help escalate and identify issues quickly and efficiently and you will work with the other team leads and the regional lead to ensure proper regional coordination. The Solution Engineering Manager has a player/coach mindset and the ability/willingness to step into the field when needed, and lead by example. In addition, you will be expected to partner closely with peer sales leaders and drive to revenue targets.

To aid your team, you will work closely with every team at Cloudflare, from Sales and Product, through to Engineering and Customer Support. Your goal of customer success should drive you through the entire organization as you seek out and advise your team on how to create scalable solutions for your customer’s needs.

Examples of desirable skills, knowledge, experience and goals

Our Solutions Engineers come from a wide range of backgrounds: solutions consulting, engineering, software development, product management, customer support & project delivery. We're serious about building a diverse team. When hiring we look for diversity of experience combined with genuine curiosity for our technology.

Ultimately, you are passionate about technology, have the ability to explain complex technical concepts in easy-to-understand terms, and you like coaching and teaching. You are naturally curious, and an avid builder who is not afraid to get your hands dirty. On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other and you will be an integral part of driving that culture.

Requirements

The Manager, Solution Engineering role requires you to have the ability to effectively manage and grow your team, as well as possess the technical prowess expected of a Solutions Engineer. Your capabilities may include a mix of the following:

• Demonstrable experience in leading the team with technical expertise and drive the team to adapt and to evolve with new technologies
• Demonstrable experience in coaching, leadership skills and team management
• Demonstrable experience in understanding and solving escalations, team issues or other management related scenarios
• Demonstrable experience in leading the team to achieve and deliver results such as PoC close win rate target and sales quota achievement target
• Minimum 5 years experience, as a Manager, in a pre-sales team and a good appreciation of the iGaming & Web3 market

Inter-Team Goals

• Cultivate cross SE team/office coordination, keep us all connected as one team
• Facilitate knowledge transfer between SE teams:
• Ensure the team learns from the great ideas of single team members
• Ensure mistakes are not repeated within the team
• Develop strong relationships outside of SE organization to aid in escalation of issues (product/support/engineering/special projects/marketing/legal/etc)
• Maintain strong communications with Account Executives and Customer Success leads

Intra-Team Goals

• Keep the pulse of the team: who is happy, productive, performing. Know each member’s strengths and how they would each like to develop
• Exemplify and cultivate positive culture traits
• Provide support and confidence to team members
• Cultivate a very open communication environment. Criticism is welcome and appreciated
• Maintain culture of independence amongst team members while offering advice to team members on how to improve

Responsibilities

• Workload Management
• Conduct 1:1’s with team members
• Act as point of escalation for team issues, escalate issues that can’t be solved in the team
• Recruit, interview, and onboarding new team members
• Report on individual SE strengths and weaknesses
• Maintaining and managing relationships with key customers in the territory

Role

As a Senior Robotics Software Engineer in Sensor-Based Control and Robot Learning, you will develop and integrate advanced control strategies and Machine Learning (ML) policies within Intrinsic’s Realtime Robot Control stack. You will drive the deployment of visual servoing and force-control skills in real-world manufacturing settings, focusing on dexterous, contact-rich assembly tasks. You will be responsible for the full development lifecycle: designing controllers, ensuring scalable hardware integration, conducting large-scale experiments, and optimizing for cycle times and resource usage to meet rigorous industrial standards.

How your work moves the mission forward

• Develop visual servoing and interaction control loops to solve high-precision insertion and assembly tasks.
• Implement sensor fusion and time-synchronization algorithms for multi-modal, sensor-based robot control.
• Take ownership of the full experimentation cycle, regularly running trials on industrial hardware to evaluate algorithmic changes and collect high-quality training data.
• Propose and build modular components for our kinematics, state estimation, and control stacks to improve robustness in contact-rich environments.
• Analyze logs and telemetry from diverse sensor sources to identify failure modes and influence the technical roadmap.
• Optimize the real-time execution framework for learned manipulation models within the Intrinsic platform.

Skills you will need to be successful

• Bachelor’s or Master’s degree in Computer Science, Robotics, or a related field (or equivalent professional experience).
• 5+ years of professional software development experience in C++ within robotics or mechatronic systems.
• Proven practical experience testing and iterating on physical robotics hardware integrated with vision and sensing systems.
• Deep technical knowledge of numerical optimal control, robot motion optimization and sensor-based robot control
• Experience working closely with partners and cross-functional teams in a fast-paced environment.
• Business fluency in English.

Skills that will differentiate your candidacy

• PhD in Robotics, Computer Science, or a related field desired
• Track-record of outstanding academic contributions in the field
• Signal processing expertise in time synchronization, state estimation, and data fusion.
• Experience running ML model inference on on-prem hardware within soft-realtime loops.
• Cloud Infrastructure: Familiarity with cloud databases and cloud compute workflows.
• Proficiency in JAX, Python, TensorFlow or PyTorch.

Proto is accelerating the world's transition to an open economy with products that increase access and independence for everyone. We're building Bitkey, a simple and safe self-custody bitcoin wallet that will put customers in control, as well as hardware and software that will help decentralize bitcoin mining and enable new and innovative use cases for bitcoin mining. We're developing these products in the open - you can read more about them at bitkey.build and mining.build. Within Proto, our Bitcoin Products team delivers the product and go-to-market strategy, software, firmware, and custom silicon needed to make Bitkey and our ambitious mining initiatives a reality. Come build the future of money with us!

The Role

The Foundry Interface Engineer will engage with Foundry partners/third-party vendors as well as internal teams to continuously improve the design of our ASICs. This work will include partnering with OSAT to continuously monitor and review production wafer test data, and work with standard cell level circuit designers to analyze the results. Based on the analysis the engineer will make requests to the foundry for process fine tuning.

You Will

• Engage with Foundry partners/third-party vendors to manage foundry PDK/DK and design library collaterals
• Guide internal IP/design teams on appropriate usage of technology attributes/offerings in accordance with product requirements (e.g., performance, power, area, and cost).
• Collaborate with internal third-party infrastructure, customization, test-chip, methodology, and packaging and product test engineering teams for seamless execution of product bring-up and productization.
• Review and assess Foundry silicon data against SPICE/design goals and compile SPICE to Silicon gap analysis. Drive foundry partners on CIPs to improve foundry process to meet technology entitlement and product goals.
• Work with foundry to identify potential device parameter changes to enable efficient low-voltage operation
• Work closely with circuit designers to determine what device improvements could improve circuit performance and energy efficiency
• Work with test engineers to analyze and validate production wafer data
• Contribute to binning strategy to maximize parametric yield

You Have

• 5 + years of post-education experience in FAB/Fabless environments, technology definition and bring-up, device/process architecture, and NPI
• Experience with foundry design kit, SPICE, DR/DRC evaluation, SPICE to Si assessment
• Experience with advanced node device physics (e.g. FinFET/GAA), backside power, product design phases
• Experience with product KPIs, DTCO, and parametric, DLY/PLY analysis/gap closure
• Understanding of low power design techniques (e.g., Vmin reduction, power gating, multi-voltage design, chip power, clock network and optimization)
• Understanding of layout effects and impact to circuit design

Preferred:

• Master's degree or PhD in Electrical Engineering, Physics, or other related Engineering field with emphasis on semiconductor materials/devices and device physics (not a substitute for professional experience)
• Production test development experience
• Familiar with advanced FinFET technology nodes (3nm and 2nm)
• Familiar with PDK and device models
• Previous work experience at semiconductor foundries
• Familiar with standard cell design and layout

We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, based solely on the core competencies required of the role at hand, and without regard to any legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build an inclusive workplace? Check out our Inclusion & Diversity page

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.

The Role

The Manufacturing Test Engineering team at Block is responsible for making sure that the millions of hardware devices leaving our factories are built according to design and meet (or exceed) customer expectations. We design board-level and end-of-line test stations to test our products, including the following subsystem technologies: display, touch, NFC, audio, WLAN.  We’re a diverse group of engineers that use our unique backgrounds to solve challenging problems in our factories. We dabble in electrical engineering, software, mechanicals and data analysis to understand the design intent of our products and understand how we can translate it to scalable test plans. We are Jacks and Jills of all trades, and we thrive on having a deep systems-level understanding of Block’s hardware products. 

Please note that this role is based in Singapore with frequent travel to Malaysia, Vietnam and China.

You Will

• Design, build, and support board-level and product-level functional test stations, including independently debugging and resolving station issues, proactively identifying and implementing improvements, and responding quickly to factory-impacting problems

• Serve as the Directly Responsible Individual (DRI) for test stations, owning development, deployment, and ongoing production support

• Develop and maintain test station software by autonomously writing, reviewing, and debugging code; implementing robust error handling, logging, and diagnostic capabilities

• Analyze test station data and measurements by conducting root cause analysis of test failures, clearly documenting and communicating findings, and proposing and implementing evidence-based solutions

• Maintain effective communication with global stakeholders by providing timely updates on status, risks, and blockers; thoroughly documenting technical investigations; and proactively managing and communicating priority changes

• Drive continuous improvement by identifying opportunities to enhance test coverage, processes, and systems; taking ownership of issues through resolution; and balancing immediate production needs with long-term improvements

• Collaborate cross-functionally by partnering with Engineering teams on testability requirements, coordinating with factory teams on implementation and rollout, and managing competing priorities across stakeholder groups

You Have

• 5+ years of experience in electronics manufacturing
• Clear written and spoken English communication skills 
• Experience working in Python, Labview, or similar programming language 
• Experience in statistics, and using SQL, JMP, Matplotlib, or similar data visualization programs 
• Ability to read schematics
• Knowledge in circuit design at the “maker” level or beyond (e.g. projects like LED controllers, home automation, weather stations, etc.) 
• Excited to work on hands-on projects and to make things work in EE, software, and/or ME realms 
• Experienced with hardware lab equipment for test, measurement (e.g. oscilloscope, power supply, DMM, etc.), and/or prototyping (Raspberry Pi, Arduino, 3D printing, powertools, etc.) 
• Enthusiastic to apply methodical engineering problem-solving skills to dig into challenges that are outside of your expertise 
• Able and willing to travel internationally 20% as needed 

Even Better: 

• Clear written and spoken Mandarin communication skills 
• Familiar with board-level (SMT) and product-level (FATP) electronics manufacturing processes 
• Experienced in reading and understanding electronics circuit diagrams and schematics 
• Experience performing analog measurements (RF, acoustic, optical, etc.) including calibration and control of systematic errors 
• Experience managing contract manufacturing test engineering partners to drive GR&R, DOE, and factory test dry runs to prepare for prototype NPI builds 
• Experience driving yield and cycle time optimizations 
• Experience writing clear reports (Build Reports, Station Issue Lists/Material Issue Lists, SOPs)

We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page.

While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.

Overview

 As a GIS subject matter expert, you’re a natural at identifying the right analysis tools for the problem at hand. Not only do you create innovative solutions, you talk about solutions in ways that get others excited about the power of GIS technology. Join an account team and advise customers in the APAC region on their most complex business challenges. Leverage your problem-solving skills to demonstrate the value of GIS and how it finds unique patterns, trends, and understanding.

 At Esri, we are committed to our customers and their success. It is a place for you to do your best work and partner with our customers amid a supportive culture that encourages creativity, collaboration, and passion.

Responsibilities

• Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the account team. Gain access to technical enterprise-level decision makers and lead technical meetings that drive revenue.
• Be an expert. Be a technical leader of Esri technology as well as a subject matter expert of various industries. Demonstrate your advanced understanding of sales strategies and initiatives to develop complex solutions for Esri’s most strategic customers. Understand an organization’s business structure, associated workflows, third party business systems, and integration points. Share knowledge and coach new team members on best practices.
• Solve problems. Proactively craft and propose solutions that clarify how GIS brings business value to our customers by addressing the critical challenges they face. Define and deliver complex strategies that align Esri technology with our largest customers’ business needs.
• Tell our story. Design presentations for technical and non-technical audiences within Esri’s largest customers. Provide configuration guidance and best practices. Present at large conferences and executive engagements.

Requirements

• 5+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
• 3+ years of experience in various industries
• Broad knowledge of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing)
• Demonstrated experience in technical consulting and conceptual solution design
• Understanding of sales and business development processes
• Ability to troubleshoot client issues related to Esri application deployment and system architecture
• Experience with geodatabases and underlying DBMS technology
• Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS)
• Experience integrating software solutions with other business systems including data warehousing, BI, CRM, ERP, and analytics platforms
• Programming and scripting experience with languages such as Python and JavaScript,
• Remarkable presentation, interpersonal, and listening skills
• Mastery of English and other languages as needed (verbal and written)
• Ability to travel domestically or internationally 25-50%
• Bachelor’s degree in geography, computer science, or a related field

Recommended Qualifications

• Experience incorporating real-time information streams with existing GIS data and IT infrastructure
• Knowledge of digitalization strategies that include mobile, IoT, advanced analytics and data science (AI/ML), and imagery
• Master’s degree in geography, computer science, or a related field

Questions about our interview process? We have answers.

#LI-ML1

#LI-onsite

Overview

As a GIS subject matter expert, you’re a natural at identifying the right analysis tools for the problem at hand. Not only do you create innovative solutions, you talk about solutions in ways that get others excited about the power of GIS technology. Join our international business development team for infrastructure to advise our distributors, partners and customers on how to solve some of the industry’s most complex business challenges using ArcGIS Leverage your problem-solving skills to demonstrate the value of GIS and how it finds unique patterns, trends, and understanding.

 At Esri, we are committed to our customers and their success. It is a place for you to do your best work and partner with our customers amid a supportive culture that encourages creativity, collaboration, and passion.

Responsibilities

• Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the account team. Gain access to technical enterprise-level decision makers and lead technical meetings that drive revenue.
• Be an expert. Be a technical leader of Esri technology as well as a subject matter expert water, electric, gas and/or telecommunications. Demonstrate your advanced understanding of sales strategies and initiatives to develop complex solutions for Esri’s most strategic customers. Understand an organization’s business structure, associated workflows, third party business systems, and integration points. Share knowledge and coach new team members on best practices.
• Solve problems. Proactively craft and propose solutions that clarify how GIS brings business value to our customers by addressing the critical challenges they face. Define and deliver complex strategies that align Esri technology with our largest customers’ business needs.
• Tell our story. Design presentations for technical and non-technical audiences within Esri’s largest customers. Provide configuration guidance and best practices. Present at large conferences and executive engagements.

Requirements

• 5+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
• 3+ years of experience in water, electric, gas and/or telecommunications
• Broad knowledge of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing)
• Demonstrated experience in technical consulting and conceptual solution design
• Understanding of sales and business development processes
• Ability to troubleshoot client issues related to Esri application deployment and system architecture
• Experience with geodatabases and underlying DBMS technology
• Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS)
• Experience integrating software solutions with other business systems including data warehousing, BI, CRM, ERP, and analytics platforms
• Programming and scripting experience with languages such as Python and JavaScript
• Remarkable presentation, interpersonal, and listening skills
• Bachelor’s degree in geography, computer science, engineering or a related field
• Ability to travel domestically or internationally 25-50%

Recommended Qualifications

• Experience incorporating real-time information streams with existing GIS data and IT infrastructure
• Knowledge of digitalization strategies that include mobile, IoT, advanced analytics and data science (AI/ML), and imagery
• Experience with enterprise GIS system administration
• Master’s degree in geography, computer science, or a related field

Questions about our interview process?  We have answers.

#LI-JP2

About the Role
As a Platform Engineer on the Infrastructure Team, you’ll be responsible for managing our internal platforms that enable our developers to build, deploy and manage applications efficiently, streamlining the software development cycle. You’ll also take the initiative to explore and automate different ways to resolve an issue, and systematically find the most efficient and effective way to do it. 

As a key member of the Infrastructure Team, you’ll:

• Be responsible for managing the on-prem and cloud-based server fleet.
• Tuning and optimization of both the OS and hardware
• Work closely with the various developer teams to ensure applications run optimally
• Automate as much as possible
• Improve the current monitoring stack

We’d love for you to have:

• Advanced knowledge of Linux (CentOS/RHEL 7x,8x preferred), focused on automation, systems engineer and performance tuning
• Performance benchmarking
• Knowledge of Low latency networking, onload (Solarflare/Xilinx)
• Experience with system tuning tools like perf
• Fluency with scripting languages (bash, python, ruby)
• Working knowledge of the network protocols
• Experience with configuration management tools (puppet, ansible, chef)

It will be highly useful if you have prior experience in the following technologies:

• Configuration management tools like Puppet/Chef/Ansible
• Containerization
• Google Cloud Platform
• Kubernetes
• C++ toolchain (gcc, clang, cmake, conan)

What we offer:

• 21 days annual leave
• An opportunity to learn from experienced professionals, fostering mentorship opportunities and personal growth
• Comprehensive Insurance Package with extended coverage for dependents
• Well stocked pantry
• Annual Dental & Wellness budget
• Gym membership
• Employee bonus referrals
• Competitive Compensation

Scope  

As the Staff Applications Software Engineer, Zephyr at Ambiq, you will drive the development and testing of Ambiq’s Zephyr software offering. This includes porting new Ambiq SoCs to the Zephyr environment and enabling hardware evaluation platforms, staying up-to-date with the latest Zephyr developments and maintaining Ambiq SoC compliance, building new samples and drivers, and driving power optimizations to best showcase our ultra-low power technology. 

This role will work within our Applications Engineering Team and will work closely with the global MCU software team.  

 The successful candidate should be a fast-learning, result-driven, and self-motivated team player with an “always learning” mindset. They should have an inquiring spirit and be comfortable in a lab environment and in executing hands-on debugging for embedded systems.  

 The person in this role will be responsible for leading Ambiq’s Zephyr software development and testing, coordinating with the global team to make improvements and fix customer issues, and representing Ambiq to the Zephyr technical steering committee and community with the help of Ambiq engineers and subject matter experts. 

Responsibilities 

• Lead the development, testing, and maintenance of Ambiq’s Zephyr offering, including sample, driver, and software testcase development, as well as hardware enablement.  

• Take a key role in Ambiq Zephyr repository processes and maintenance, including CI/CD. 

• Manage Ambiq Zephyr issue status tracking, debug, and resolution.  

• Collaborate with internal engineering teams to analyze and debug complex system level issues and develop software solutions. 

• Focus on demonstrating Ambiq’s low-power advantages to the greatest extent possible within the Zephyr ecosystem. 

• Create application notes and software guidelines.  

• Support applications and field engineers, and key customers as needed. 

Qualifications 

• MS in ECE or Computer Science and 6+ years of experience or BS ECE/CS with 8+ years of experience, with at least 3 years focusing on the Zephyr ecosystem; 

• Experience with ARM Cortex-M processors.  

• Deep understanding of Zephyr RTOS required. 

• Experience with developing embedded MCU code in C and assembly language on Arm Cortex-M Processors;   

• Experience working with MCU peripherals including SPI, I2C, UART, and USB. 

• Experience with at least one MCU IDE from ARM, Keil, IAR, Eclipse, Ozone or other; 

• Experience with security, Bluetooth, Matter/Thread, and/or machine learning models within the Zephyr ecosystem is a real plus. 

• Good hands-on experience on lab equipment such as oscilloscopes, logic analyzers etc. for debugging issues;  

• Experience with Jira, Confluence and collaboration tools;  

• Experience with source code control systems (git) required;   

• Understanding of software testing and test automation principles;  

• Excellent problem-solving skills dealing with complex system level issues related to HW/SW debug;  

• Experience with scripting languages required and python experience is specifically desirable;  

• Strong communication and documentation skills. 

Role Summary

This role is an opportunity to work with a high‑agency startup team operating in the hard‑tech and energy systems space. You will play a critical role in building and scaling the user-facing products that operators, plant managers, and enterprise stakeholders rely on every day. This is a hands-on role. You will design, build, and ship production-quality UI systems that surface complex operational data in intuitive, performant interfaces. The role requires close collaboration with backend, product, and domain expert teams — and a genuine curiosity for how AI tools can accelerate and enhance your work.

Responsibilities

• Own the design and implementation of UI systems for Amperesand's MES and ERP platforms
• Build end-to-end frontend features including data visualization, workflow management, dashboards, and real-time telemetry displays
• Develop reusable component libraries and design systems that scale across the product
• Collaborate with backend and platform teams to define APIs and data contracts that support great user experiences
• Productionize UI code with a strong focus on reliability, accessibility, performance, and maintainability
• Leverage AI-assisted development tools to accelerate delivery and improve code quality
• Partner with product managers and domain experts to translate complex operational problems into intuitive interfaces
• Continuously improve the product through user feedback, usage analytics, and iteration
• Document component designs and architectural tradeoffs for cross-functional stakeholders

Qualifications

• 5+ years of experience in frontend or full-stack engineering, including production deployments
• Strong experience with TypeScript and React, including hooks, state management, and component architecture
• Experience building data-dense, real-time UIs such as dashboards, tables, and operational views
• Proficiency with modern frontend tooling (Vite, Next.js, or similar)
• Experience integrating with REST or GraphQL APIs and real-time data streams (WebSockets, SSE)
• Familiarity with testing practices (unit, integration, end-to-end)
• Comfortable working with AI coding tools (Copilot, Cursor, Claude, etc.) to supplement and accelerate development
• Proficiency in English and ability to communicate with wider teams
• Ability to travel up to 20% including internationally

Bonus Qualifications

• Background in energy engineering systems (power systems, energy storage, power electronics, or controls)
• Experience with IoT, manufacturing, or industrial platforms
• Exposure to design tools and ability to collaborate closely with UX/UI designers
• Experience with MES, digital twins, or asset health monitoring
• Open-source contributions to frontend projects
• Experience working within or building design systems
• Familiarity with CI/CD workflows and frontend DevOps practices
• Experience working with hardware, firmware, or operations teams

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options.

Scope

We are seeking a talented Field Applications Engineer (FAE) to join our team in Singapore. In this role, you will provide technical expertise in Bluetooth Low Energy (BLE) and embedded systems to support customers throughout their product development lifecycle. You will work closely with customers and internal R&D teams to deliver high-quality solutions, troubleshoot complex issues, and drive successful product implementations.

Responsibilities

• Conduct comprehensive Schematic & Layout Reviews to identify design flaws in power delivery networks, signal integrity, and RF/antenna paths.
• Lead the integration of Bluetooth Low Energy (BLE) stacks, including GATT profile development and power consumption optimization.
• Guide customers through RTOS & Driver Integration (e.g., Zephyr, FreeRTOS) and peripheral interfacing (I2C, SPI, UART, MIPI).
• Perform root-cause analysis on complex hardware/software bugs using Oscilloscopes, Logic Analyzers, and BLE Sniffers (e.g., Ellisys, Teledyne LeCroy).
• Analyze system logs and protocol timing to resolve intermittent connectivity or stability issues.
• Support customers through critical hardware validation phases (EVT, DVT, and PVT) to ensure a smooth transition to mass production.
• Collaborate across time zones with offshore R&D teams (e.g., in Taiwan or the US) to resolve high-priority technical bottlenecks.
• Deliver technical training and product demonstrations to customer engineering teams.
• Proactively suggest design optimizations to improve system performance and reduce time-to-market.
• Drive the success of high-impact projects across Singapore, South Asia (including India, Vietnam), and Australia and overseas travel (South Asia and Australia) is required.

Qualifications

• Bachelor’s or Master’s degree in Electrical Engineering (EE), Electronic Engineering, Computer Science, or a related technical field.
• Ability to communicate technical concepts fluently in a professional business environment.
• Proficiency in troubleshooting ARM Cortex-M based MCUs and embedded firmware.
• Proven track record in the semiconductor, IoT, or wearable electronics industries.
• Proven experience with BLE protocols and wireless debugging.

Preferred Qualifications:

• Familiarity with wireless certification processes, including SIG (BQB) certification, FCC/CE/NCC regulatory testing,
• Experience in antenna tuning and performing link budget analysis to optimize range and power consumption.

Scope  

As a Senior Embedded Software Engineer at Ambiq, you will lead the development, integration, and verification of the AmbiqSuite SDK for common IP blocks across Ambiq’s advanced SoC and emulation platforms.

In this role, you will collaborate closely with cross-functional experts throughout the IC development lifecycle, including SoC Architecture, IC Design, Production, Applications, and Customer Enablement teams. Your work will play a key role in enabling customers to successfully develop and deploy products on Ambiq’s latest SoC platforms.

The successful candidate should be a fast learner, results-driven, self-motivated, and collaborative team player with an “always learning” mindset. You should bring strong hands-on experience in low-level embedded C programming and be comfortable working in a lab environment, performing hardware bring-up, debugging, and validation.

This role is responsible for extending the hardware abstraction layer (HAL) and device drivers within the SDK to support new platforms, while continuously improving SDK features, quality, and content. You will also contribute to expanding SDK support for new MCU family members as they are introduced.

Responsibilities 

• Lead the design, development, and maintenance of HAL interfaces for MCU common blocks, including data movement engines, clock management, power management, and MCU control.
• Design, develop, and maintain software examples and test cases for MCU common blocks.
• Play a key role in pre-silicon verification on FPGA platforms and in post-silicon bring-up, verification, and debug, focusing on MCU cores and common blocks.
• Develop and maintain real-time operating system ports for Ambiq MCUs.
• Collaborate with and support design verification (DV) and validation engineers, field engineers, and key customers as needed.

Qualifications 

The Senior Embedded Software Engineer should have strong experience in the design, development, and use of HAL and BSP libraries for MCU-based products. Experience with embedded applications for wearable devices is preferred. The ideal candidate will also have extensive hands-on experience developing for and debugging on Arm-based platforms.

• MS in Electrical and Computer Engineering or Computer Science, or other related field with 3-5 years of relevant experience, or Bachelor’s degree in the same fields with 4-6 years of relevant experience.
• Deep understanding of Arm Cortex-M architectures.
• Proven experience developing embedded MCU software in C and assembly for Arm Cortex-M processors.
• Strong understanding of embedded RTOS concepts and development; FreeRTOS experience preferred.
• Experience with at least one MCU IDE for ARM, such as Keil, IAR, Eclipse, Ozone, or equivalent.
• Solid understanding of common MCU peripherals and interfaces, such as SPI, I2C, UART, etc.
• Hands-on experience using lab equipment such as oscilloscopes and logic analyzers for system bring-up and debugging.
• Experience with Jira, Confluence, and other collaboration tools.
• Proficiency with source code version control systems, including Git.
• Good understanding of software testing and test automation principles.
• Strong problem-solving skills, with the ability to debug complex system-level hardware and software issues.
• Experience with scripting languages is required; Python experience is highly desirable.
• Strong written and verbal communication skills, along with solid technical documentation ability.

Role Summary 

As a Full Stack Software Engineer, you will design, build, and own end-to-end software systems that interface directly with energy hardware, edge compute platforms, and cloud services. You will work across the stack—from low-level systems programming on Linux-based devices to high-performance backend services and user-facing applications. This role requires strong systems thinking, excellent coding skills in modern systems languages, and a deep appreciation for reliability, safety, and performance in energy and industrial environments. 

You will collaborate closely with power firmware, infrastructure, and data teams to deliver robust, production-grade software that operates in real-world energy systems. 

Responsibilities:

• Architect, develop, and maintain full-stack software systems supporting energy and grid-connected products. 

• Build high-performance backend services and APIs using C, Go, and/or Rust for control, data ingestion, and orchestration. 

• Develop user-facing applications and internal tools that surface device health, telemetry, and system insights. 

• Design and implement software that runs reliably on Linux-based edge devices as well as in cloud environments. 

• Work with and improve Linux build systems (e.g., Make, CMake, Bazel, Yocto/Buildroot) for repeatable, reproducible builds. 

• Integrate software with embedded systems, real-time data pipelines, and hardware control layers. 

• Own software quality through testing, code reviews, CI/CD integration, and production monitoring. 

• Collaborate cross-functionally to define system requirements, interfaces, and long-term technical direction. 

• Mentor engineers and provide technical leadership on architecture, performance, and reliability.  

Qualifications 

• Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, or equivalent practical experience. 

• 2+ years of professional software engineering experience, with demonstrated ownership of complex systems. 

• Strong proficiency in C, Go, and/or Rust, with the ability to reason about memory, concurrency, and performance. 

• Solid experience developing on Linux, including debugging, profiling, and systems-level development. 

• Hands-on experience with Linux build systems such as Make, CMake, Bazel, Yocto, or Buildroot. 

• Experience building and operating backend services, APIs, and data pipelines. 

• Familiarity with modern software development practices: version control, CI/CD, testing, and code review. 
• Strong communication skills and ability to work effectively across software, hardware, and infrastructure teams. 

Bonus Qualifications 

• Experience in the energy, power electronics, industrial, or embedded systems domains. 

• Knowledge of real-time systems, distributed systems, or high-availability architectures. 
• Experience with time-series data, telemetry systems, or control systems. 

Work Environment 

• Occasional travel (up to 20%) may be required, including international travel. 

The role 

We’re seeking an exceptional Principal Application SW Engineer to join our Japan-based within the Application Software team, focused on localising and advancing Wayve’s autonomous driving technology for the Japanese market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Japan from the ground up.

In this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.

Key responsibilities:

• Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
• Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
• Integrate and validate drivers, middleware, and boot-time configurations.
• Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
• Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
• Implement system-level diagnostics, logging, and secure boot configuration.
• Develop automation for setup, flashing, health checks, and test execution on target hardware.

About you  

In order to set you up for success at Wayve, we’re looking for the following skills and experience.  

• 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
• Strong proficiency in C/C++, Bash, and Python.
  Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
• Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
  Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
• Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
• Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
• Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.
• No Japanese language required. 

Desired 

• Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
• Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
• Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
• Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.

This is a full-time role based in our office in Tokyo - we offer relocation package and visa sponsorship.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

For more information visit Careers at Wayve. 

To learn more about what drives us, visit Values at Wayve 

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.