The Opportunity

We’re looking for an Application Engineer who thrives on solving hard problems with code. In this role, you'll have the opportunity to work at the cutting edge of generative AI in a high-impact role with autonomy and ownership. While we are a remote-first company, the nature of this role requires candidates to be based in the Singapore area.

What You’ll Do

• Debug and fix issues in our platform (and ship PRs with your fixes).
• Build internal tools and copilots powered by generative AI to supercharge our team.
• Rapidly prototype proof-of-concepts for customer use cases.
• Work across Engineering, Product, and Solutions to unblock customers and push the boundaries of AI adoption.

What We’re Looking For

• You have 2-5 years of experience in software.
• Strong in Python and Golang; comfortable shipping fixes in production systems.
• Hands-on with generative AI (LLM APIs, frameworks, building copilots or automations)
• Hands-on with OpenTelemetry and deep familiarity with distributed tracing concepts.
• Familiarity with AI frameworks (CrewAI, Langchain, Langgraph, DiFy, LiteLLM, etc).
• Familiarity or eagerness to learn JavaScript/TypeScript.
• Great debugger, creative problem solver, and fast learner.
• Independent and resourceful. You create solutions, not dependencies.

Bonus Points (but not required!)

• Experience in a customer-facing role
• Built copilots, plugins, or custom GenAI-powered applications.
• Open-sourced or contributed PRs to real codebases.
• Startup or fast-moving environment experience.

Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

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

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.

The Software Development Engineer in Test / Python Developer provides mission-critical support for our core proprietary trading systems. You will develop automated tests for trading platforms used globally by trading and research teams, and contribute to Python production applications such as trade data processing and reconciliation tools. We are seeking a candidate with experience in fast-paced development environments, strong testing skills, and solid Python development experience.

Core Duties:

• Test automation & quality assurance
  • Build a strong understanding of trading system functionality (market pricing, trading operations, trade data access, etc.) and use the Python-based test framework to develop automated test suites
  • Design and implement tests for throughput, functionality, data processing, and latency for Trading Components (Order Adapters, Market Data Publishers, Risk Systems, Exchange Connections, and others)
  • Test trading system releases and support release management
  • Support and maintain test environments
  • Integrate tests into a continuous integration system and provide fast feedback on changes that affect development
  • Perform manual testing when needed (e.g., certification, integration testing)
  • Troubleshoot issues and bugs discovered in testing and help determine root cause
  • Investigate production issues and support root cause analysis
• Python production applications
  • Develop, maintain, and enhance Python production applications such as trade data processing and reconciliation tools
  • Participate in the full software lifecycle for these applications, including design, implementation, deployment, and support

 Requirements:

• 2+ years of Python programming experience
• 2+ years of automation testing experience
• Experience with testing frameworks for unit and integration testing (PyTest)
• Strong analytical skills, attention to detail, and clear written and verbal communication
• Solid understanding of software development and testing practices
• Ability to adapt and learn quickly in a fast-paced environment

Preferred:

• Experience with trading systems
• Experience developing or maintaining production-facing Python applications
• Familiarity with FIX protocol and other financial messaging protocols

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

Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: WorldQuant Quant Enablement Team is seeking an exceptional individual to work on complex data pipelines, computational infrastructure and quant-related software systems. This role works closely with Portfolio Managers and Researchers, and across teams within WorldQuant as a hands-on engineer as a part of our business facing technology organization. A successful candidate will possess an in-depth knowledge of data design patterns, software architecture and design principles and how to implement them. They should be familiar with data structure and algorithms, data engineering and stay informed about AI technologies and their potential applications to drive business support and growth

What You’ll Bring:

• Degree in a technical or quantitative discipline from a top tier institution.
• 5 to 8 years of Python experience as a developer.
• Demonstrated ability to program in Python on Linux/Unix platforms; familiarity with scripting languages.
• Experience with effective code version control, as well as Continuous Integration and Deployment.
• Exceptional communication skills in both verbal and written form.
• Excellent problem-solving abilities and judgment with strong attention to detail.
• Mature and thoughtful, with the ability to operate in a collaborative, team-oriented culture.
• Motivated by the transformational effects of technology-at-scale.
• Experience with AI technologies, such as LLMs and agentic AI, along with their use cases would be beneficial
• Experience in finance is a plus but not required

Project Overview

This is a cutting-edge initiative to integrate Large Language Models (LLMs) with WorldQuant's proprietary strategy management tools. The project aims to provide AI-assisted insights, automate routine analytical tasks, and enable natural language interactions for Portfolio Managers to more efficiently analyze, maintain, and enhance their trading strategies. This involves building foundational infrastructure, developing robust data pipelines for metrics and features, and creating a secure, user-centric interface with a strong focus on protecting intellectual property.

The Role:

We are seeking a talented and motivated Full-Time Software Engineer to play a key role in the development and enhancement of this AI-driven platform. You will be responsible for designing, building, and maintaining critical components of the system, primarily focusing on the Model Context Protocol (MCP) servers that form the backbone of the platform. This includes enhancing existing MCPs, such as our proprietary command-line interface for strategy data, developing new MCPs for internal data system integration, strategy analysis, and performance metrics, and contributing to the secure and effective use of LLMs.

Key Responsibilities

• Design, develop, test, and deploy robust and scalable MCP servers and related tools in Python.
• Enhance existing MCPs, including our internal data access tools, to ensure reliable access to strategy metadata, historical PnL data, and PnL attribution by risk factors.
• Develop new MCPs, including but not limited to MCPs for direct data system integration, MCPs for strategy analytics, and MCPs for performance reporting.
• Design and implement secure prompt engineering techniques to interact with LLMs, ensuring effective information retrieval while minimizing the risk of intellectual property leakage.
• Collaborate with project managers, technical leads, and other developers to define technical specifications and integrate various data sources.
• Work on API development and integration, ensuring seamless data flow between different systems (internal knowledge management systems, simulation systems, data warehouses).
• Implement data parsing and manipulation logic for various formats (JSON, CSV).
• Contribute to the design and implementation of data pipelines for strategy metrics and features.
• Address and resolve bugs and issues in existing MCP tools and infrastructure.
• Participate in code reviews, and contribute to unit and integration testing efforts.
• Create and maintain technical documentation for developed components.
• Stay updated with emerging technologies and methodologies in AI, LLMs, prompt engineering, and financial technology.

What You’ll Bring:

Core Skills:

• Strong proficiency in Python programming.
• Proven experience in API development, integration, and consumption.
• Solid understanding of database interaction, data access patterns, and data modeling.
• Experience with data parsing and manipulation libraries and techniques (e.g., pandas, JSON, CSV).
• Understanding of or experience with prompt engineering principles for Large Language Models
• Awareness of data security and intellectual property protection considerations in the context of AI and LLM applications

Domain-Specific Knowledge (Highly Beneficial):

• Familiarity with financial data (e.g., PnL, Sharpe ratio, alpha, risk factors, AUM).
• Experience with quantitative trading systems, market data systems, or strategy management platforms (familiarity with internal data systems or command-line data tools is a significant plus).

Technical Environment Familiarity (Helpful):

• Experience working in a Linux environment.
• Understanding of Command Line Interface (CLI) tools and development.
• Familiarity with version control systems (e.g., Git).

Soft Skills

• Excellent problem-solving and analytical skills.
• Strong collaboration and communication skills, with the ability to work effectively in a team.
• High attention to detail and commitment to delivering high-quality software.
• Ability to learn quickly and adapt to new technologies and complex systems.

Education

• Bachelor's or Master's degree in Computer Science, Engineering

About the Role:  

Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking experienced Sales Specialists to drive growth in this innovative business. 

In this role, you will focus exclusively on Securiti AI solutions, working closely with Veeam account executives to cross-sell into Veeam’s customer base, win new business, and expand existing Securiti AI accounts. You’ll have a shared territory with multiple AEs, strong earning potential, and support from a dedicated Securiti AI solution engineer for technical engagements. You’ll also benefit from Veeam’s robust go-to-market resources to ensure customer success. 

What You’ll Do: 

• Develop and execute a territory plan to drive repeatable revenue within assigned accounts.
• Collaborate with account executives to identify and maximize cross-sell opportunities for Securiti AI solutions.
• Lead the entire sales process, serving as a trusted advisor, and presenting compelling business cases to customers.
• Manage a pipeline of high-value opportunities, ensuring accurate forecasting and CRM discipline.
• Expand relationships with key channel partners and resellers to accelerate deal flow and market reach. 

What You’ll Bring: 

• Proven success closing complex enterprise software deals, with 10-15+ years in security software sales.
• Extensive experience managing multithreaded sales cycles involving multiple stakeholders.
• Strong existing relationships with C-suite executives and channel partners in large enterprises.
• Deep understanding of enterprise software sales, particularly in data security, management, or cybersecurity.
• Reputation for integrity, honesty, and building long-term customer relationships. 

What You’ll Get 

• 15 to 21 annual vacation days (based on role level), plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical plan for employees and eligible dependents, including major medical, hospital, surgical, and outpatient coverage
• Dental insurance with comprehensive coverage for employees and dependents
• Annual wellbeing allowance for health and wellness support
• Life and accident insurance for added financial protection
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

About the Role:  

Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking a Senior Sales Engineer to drive technical leadership in our sales team, focusing on the Securiti AI portfolio. You will partner with a Securiti Sales Specialist and support 3–5 Account Executives and Veeam Solution Engineers as the technical subject matter expert. 

You will guide customers from needs assessment to solution design, delivering hands-on demos and proof-of-concepts to showcase value. Success in this role requires strong technical skills and the ability to build trust with clients. 

What You’ll Do: 

• Act as the primary technical contact for Securiti AI solutions during the sales cycle
• Lead technical discussions and deliver customized security solutions
• Address customer needs in data discovery, posture management, and compliance
• Design and present product demonstrations and proof-of-concepts
• Collaborate with product, engineering, and customer success teams to ensure smooth transitions 

What You’ll Bring: 

• Significant experience in pre-sales or sales engineering
• Strong understanding of data and/or cloud security
• Effective communicator with both technical and business stakeholders
• 10+ years technical sales experience in security
• 15+ years in Software/SaaS/Enterprise technical sales
• Hands-on experience with AWS, Azure, or GCP
• Knowledge of data privacy/security standards (e.g., GDPR, NIST 800-53, ISO 27001)
• Experience with DSPM frameworks, Linux, Kubernetes, or cloud data systems
• Relevant certifications (CISSP, CISM, or cloud-specific) 

What You’ll Get:

• 15 to 21 annual vacation days (based on role level), plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical plan for employees and eligible dependents, including major medical, hospital, surgical, and outpatient coverage
• Dental insurance with comprehensive coverage for employees and dependents
• Annual wellbeing allowance for health and wellness support
• Life and accident insurance for added financial protection
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Virtu is a leading financial firm that leverages cutting edge technology to deliver liquidity to the global markets and innovative, transparent trading solutions to our clients. As a market maker, Virtu provides deep liquidity that helps to create more efficient markets around the world. Our market structure expertise, broad diversification, and execution technology enables us to provide competitive bids and offers in over 19,000 securities, at over 235 venues, in 36 countries worldwide.​

THE ROLE

Our trading platform runs on high performance servers distributed across datacenters and offices throughout the world. These servers are highly automated and finely tuned to meet the growing demands of our business. Our Systems Engineers are responsible for designing, building, and supporting these servers, working with engineers across our global groups to ensure that our trading platform remains the best in the business.

RESPONSIBILITIES

• Analyze, diagnose, and resolve Linux based server issues.
• Create, test, deploy, and maintain packages, batch files, and scripts for the OS environment.
• Identify opportunities for optimization to reduce latency and increase efficiency.
• Manage move, add, and change requests and configuration as needed.
• Proactively engage with internal technology groups and vendors as necessary to deliver optimum solutions. 
• Assist in developing long-term infrastructure strategies and capacity planning to meet future platform infrastructure needs.

THE CANDIDATE

• 3-5 years background in Linux/Unix administration.
• Kernel tuning experience.
• Strong understanding of networking protocols and network topology (NFS, DHCP, IP, TCP, UDP, TFTP and NTP).
• Knowledge of Kickstart, Ansible, Git.
• Strong scripting ability (Python)
• Experience with BIOS configuration.
• MySQL or Postgres experience a plus
• HT Condor, HTC clusters, Team City, Keycloak, Atlassian suite experience a plus
• Analytical, innovative, problem solving and strategic thinker.
• Self-motivated and proactive; strong organizational and time management skills.
• Must have high tolerance for continually shifting priorities.
• Ability to manage multiple projects and coordinate work with various teams and vendors in addition to daily production support activities.

WHY VIRTU

• The opportunity to make an impact in a highly visible role within the firm
• A great place for upward and geographic mobility
• Direct exposure to the decision makers and senior leaders on the business side
• A company that’s investing a sizable amount in its technology department
• Teams that are passionate about continually learning, improving, and raising the bar
• A community that values hard work as well as work-life balance

After passing an initial resume screening, candidates will be sent an online system administration test. We look forward to meeting you!

Virtu Financial is an equal opportunity employer, committed to a diverse and inclusive workplace, welcoming you for who you are and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Come join Karat's Interview Engineer Community!

Karat is always seeking talented engineers to join our Community. If you are interested in being considered for a future Interview Engineer opportunity, please submit your application to this posting.

This is a contractor/freelancer opportunity, and work is compensated based on tasks performed. Currently, we are only accepting applications from candidates in the countries on our website, and require that resumes be submitted in English.

What Interview Engineers do:

Interview Engineers facilitate technical interviews with software developers around the world. As an Interview Engineer, you will create inclusive hiring processes by mitigating bias, improving hiring signals, and completing objective evaluations. These skills are critical to hiring and managing teams in startups and large enterprises. As a Karat Interview Engineer, you will:

• Interview—Facilitate an interview through Karat's platform. Create an enjoyable candidate experience while you evaluate a candidate's fundamental coding skills and technical knowledge.
• Evaluate—Provide input on the candidate's performance, coding style, communication skills, knowledge question answers, and coding approach.
• Partner—Collaborate with Karat to test content, processes, and products.

The experience you will bring:

• 3+ years of experience as a Software Developer or Engineer
• Excellent English communication skills (written and oral) with a high level of professionalism and interpersonal skills
• Reliable access to a working webcam, microphone, and a stable Internet connection
• Experience conducting technical interviews is preferred (e.g., data structures, algorithms)

While we review your application, learn more about life as an Interview Engineer by watching this video!

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

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

Responsibilities

As an Analytics Engineer Intern in the Product Management team, you will play a key role in driving the success of our products by developing data models, writing code, monitoring data, and communicating results. You'll work closely with Data Engineers and Product Analysts to support the delivery of high-quality, reliable, and accessible product usage data. You’ll get hands-on experience with modern data tools, build data models, and help turn raw data into actionable insights that drive product and business decisions. Moreover, you will explore technologies like GenAI and their potential applications to augment our product usage datasets.

DBT Modeling:

• Design, develop, and maintain data models using DBT (Data Build Tool) for data transformation and analysis, providing accurate and consistent data for end users and stakeholders.

• Collaborate with Data Analysts and Business Stakeholders to understand their reporting and analysis needs and translate them into DBT models.

• Maintain our internal dbt conventions and best practices, ensuring our code base is clean and efficient.

Data Reliability and Completeness:

• Ensure data quality and consistency by implementing robust testing, validation, and cleaning processes on source tables to improve data reliability.

• Apply data monitoring solutions to ensure data flows and transformations are performing optimally and accurately.

• Create and maintain data documentation & definitions, including data dictionaries and process flows.

Collaboration with Data & Engineering Teams:

• Partner with data engineers, product analysts, GTM data teams, and other stakeholders to align data insights with product improvements.

• Communicate complex data patterns and conclusions effectively to internal and external stakeholders, coworkers, and end-users.

• Evangelize our team’s data models to business users, accelerating their time-to-insights.

Exploring Emerging Technologies:

• Actively research the applicability of new tools and technologies, such as GenAI, to enhance data engineering and analysis.

• Develop and test prototypes that showcase the potential impact of GenAI and similar technologies on our current product usage datasets.

Requirements

• Proficiency in SQL, database knowledge, and understanding of Python. Knowledge of using DBT is a plus.

• Fast mover and comfortable navigating a fast-paced environment. Currently pursuing a degree in Data Science, Computer Science, Engineering, Business Analytics, or a related field.

• Resourceful in execution and results-oriented

• Strong analytical skills and a passion for data-driven decision-making

• Curious mindset with attention to detail.

• Thoughtful team player, a quick learner, and have a “can-do” attitude with a growth mindset

• Excellent communication skills with the ability to articulate complex data models, data-driven insights, and issues to stakeholders effectively

• Interns who will be able to commit on a full-time basis for at least 6 months will be preferred. 

To stand out in our hiring process, please take the time to respond to the Job Application Questions below with concise yet informative answers. All submissions are personally reviewed by the Hiring Team, not evaluated by AI.

(REQ ID: 2722)

We are seeking a Senior NPI Mechanical Engineer to join the Instrument Manufacturing Engineering Team. This person will be responsible for the development and implementation of manufacturing process improvements, equipment/fixture/tooling design and qualification, process development and qualification, optimized to deliver high quality products and meet production demand.  

The ideal candidate will have a strong background in NPI, mechanical design, manufacturing and process engineering.  This role requires strong mechanical engineering fundamentals, a collaborative mindset, and the ability to work effectively across functional teams including manufacturing, service, operations, and quality.

What you will be doing:

• Lead and support mechanical engineering efforts for NPI, covering design development, verification, validation, and production transfer.
• Design and development of manufacturing test fixtures as required. Design fixtures and tooling to help reduce cost of machine setup and reduce scrap
• Teaming with R&D, QA and Production departments to design, develop, test, document and implement processes, tooling, and fixtures.
• Lead effort to develop and maintain process Failure Modes and Effects Analyses (pFMEAs) for company processes, implement mitigations, and leverage risk based decision making.  
• Create process requirements for both informing design activities, and to  implement equipment and fixturing needed for process development and manufacturing efforts.
• Develop and maintain documentation for design and process control, product configurations, manufacturing procedures, (e.g., travelers, bills-of-materials, Work Instructions, Lot History Records), and other Quality System requirements.
• Evaluate existing engineering processes and implement process improvements. 
• Using Lean principles, Lead and/or actively participate in product/process engineering problem solving.
• Identify opportunities and implement changes to improve products and reduce costs by using knowledge of assembly methods, quality control standards, fabrication processes, tooling, production equipment, product design, and materials
• Support the transfer of product lines and the qualification-validation efforts
• Prepare reports and presentations summarizing information or trends related to manufacturing performance
• Provide technical expertise or support related to manufacturing.

Minimum Requirements: 

• Bachelor’s degree in Engineering: Mechanical, with 5 years of experience, or MS/ PhD with 4 years of experience.
• Strong background in mechanical design for complex capital equipment, ideally including optics, motion systems, and fluidics.
• Ability to review mechanical drawings, ability to read schematics
• Proficient in SolidWorks for 3D CAD modeling, design analysis, and creating detailed mechanical drawings.
• Creation of pFMEAs, ECOs, work instructions, and qualification documentation. 
• Working knowledge of, but not limited to, manufacturing and assembly techniques, machining, injection molding, instrument and consumables for biotech
• Experience working with instrument manufacturing under ISO 9001 or ISO 13485 standards. 
• Expertise in cGDP, cGMP. 
• Ability to travel to contract manufacturers (approximately 10%)
• Desire to be part of a rapidly evolving organization, with a compelling technology, and taking products and processes to the next level.

Preferred Qualifications: 

• Experience with DFM/DFT/DFA and process validation in regulated environments (e.g., ISO 13485, FDA).
• Comfortable managing BOMs, ECOs, and documentation in a structured product development environment.

Revolutionize the future of autonomous driving with us. We are seeking a talented Senior Frontend Software Engineer to join our Map Creator team. The successful candidate will be integral to the development of a cutting-edge, web-based semantic map annotation editor for our autonomous vehicles. This role involves managing massive-scale map data, by ensuring it can be edited, validated, and visualized, while maintaining great performance.  Furthermore, you will also take part in automating map generation processes and designing efficient user workflows to drive operational profitability. Your contributions will directly shape the future of transportation.

If you're passionate about building impactful, user-friendly solutions and thrive in a collaborative, innovative environment, this is the opportunity you've been waiting for.

What you'll tackle:

• Design, build, document, test, and maintain our web-based map editors and 3D visualizations, ensuring they handle massive datasets with ease.
• Craft clean, maintainable code that sets the standard for best practices across the team.
• Monitor, support, and resolve issues as they arise.
• Optimize web applications for peak performance, making sure our tools can handle terabytes of map data visualization, validation, and editing.
• Take ownership of projects, driving innovation and process improvements that elevate our entire workflow.
• Work hand-in-hand with Machine Learning teams to integrate automations, pushing the boundaries of what's possible in map annotation.
• Collaborate with diverse international teams to develop cutting-edge map solutions that meet the evolving needs of our researchers and engineers.
• Harness cutting-edge AI tools to supercharge your daily workflow, and actively contribute to integrating agentic AI capabilities directly into our development lifecycle.

Join our team if you:

• Possess a minimum of 5 years of experience as a frontend software engineer.
• Are a Typescript maestro and a React rockstar.
• Have a knack for UI/UX design, making complex tools intuitive and delightful.
• Write great design docs that clearly articulate technical proposals, architectural decisions, and implementation details for our mapping solutions.
• Have a rock-solid grasp of engineering fundamentals, such as observability, concurrency, parallelization, frontend architecture, and design patterns.
• Top-notch performance optimization skills.
• Love solving complex problems and are always eager to learn something new.
• Can bridge the gap between technical and non-technical international folks with your stellar communication skills.

Bonus points if you:

• Bring hands-on experience with geospatial data and modern mapping systems.
• Experience with 3D visualization libraries such as Three.js or DeckGL, or direct experience with WebGL and WebGPU.

Why This Role?

This isn’t just another web app—it’s a rare, genuinely fun frontend opportunity to build highly interactive, 2D/3D editing tools that shape the physical world. You will join a closely integrated, innovative team that is advancing autonomous driving technology to new levels. Your work will fuel the tools powering our AVs, streamline workflows, automate the complex stuff, and support our researchers and engineers as they redefine what’s possible.

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 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.

• 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.

IT ENABLEMENT ENGINEER

Important Information

Location: Singapore

At least 7 years of hands-on experience in the following:

Technical Skills:
•    Good understanding and hands on in automation, system integration and data engineering including data analysis, data modelling (hierarchies and relationships), ETL development (data cleaning, transformation), and data validation. Able to integrate data from multiple sources and build, maintain, and optimize ETL pipelines within AWS to integrate with other system
•    Good understanding and hands on in Designing and developing interactive, intuitive dashboards using Power BI, aligned with both business and operational needs and good UX design principles. Transform key metrics—such as governance, risk, finance, and operations—into clear, actionable visuals that drive informed decision-making.
•    Good understanding and hands on with REST API, eg : Able to write, test, validate API Call and understand how to get data from other system through API call
•    Good understanding and hands on using AWS services such as lambda, EC2, S3, Glue
•    Worked with ServiceNow/tenable/sharepoint and other data sources before and know how to extract their data via API
•    Good understanding and hands on in programming & scripting eg: Python, Unix Shell Script or Power Shell.
•    Experience in building DevSecOps pipelines 
•    Provide technical support for applications/tools supported by enablement team, including incident/problem troubleshooting, resolution and performance optimization.
•    Ensure compliance with ITIL best practices and IT standards, securities and governance.

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

About this role

We are looking for a Staff/Principal Linux Infrastructure Engineer with deep expertise in Linux development, network driver creation, and performance optimization. In this hands-on, high-impact role, you will work directly in our TrustedServer Team to create and refine the core systems that drive ExpressVPN’s infrastructure. This role is ideal for a Linux expert with a record of notable contributions to the kernel or other relevant communities and a history of published research in the field.

What you’ll be Do:

• Develop, optimize, and maintain TrustedServer collaboratively with the team, ensuring this foundational technology continues to serve as the secure backbone of our global services.
• Lead advanced Linux development projects and maintain active contributions to the Linux and relevant communities, with a focus on optimizing network drivers and enhancing system performance.
• Create and maintain dedicated environments and labs to rigorously test and optimize system performance; analyze results and implement improvements that increase system speed, resilience, and scalability.
• Network Driver Development: Develop and refine custom network drivers tailored to the high-demand needs of our digital privacy and performance solutions.
• Write clear, comprehensive technical designs and test plans, ensuring complex infrastructure projects are heavily de-risked and cleanly architected.

What you’ll bring:

• Minimum of 7 years in Linux infrastructure and Linux development, with documented contributions to kernel or relevant repositories.
• Demonstrated experience in network driver development, performance testing frameworks, and significant contributions to the Linux and relevant communities.
• Deep expertise in C++/Rust programming, Linux kernel architecture, and network protocols.
• Advanced capabilities in performance tuning and development of testing frameworks.
• Strong analytical and problem-solving skills, with a hands-on, proactive approach to systems architecture and performance optimization.
• Degree in Computer Science, Computer Engineering, or a related field.

Nice to have:

• History of published research in systems performance, networking, or kernel architecture.
• Expertise in computer security, cryptography, secure coding practices, or public key infrastructure.
• Familiarity with modern VPN protocols, including WireGuard or our own open-source protocol, Lightway.

What we offer:

• Work with a modern tech stack in a strong engineering culture
• Influence on technical decisions and room to innovate
• Continuous learning opportunities and support for professional development
• A motivated, collaborative team with extensive experience
• A strategic role with real technical influence and ownership
• A modern engineering culture with CI/CD, observability, and a strong code review culture
• Purpose-driven work: we value security, quality, and depth over quick hacks

#LI-PS1

Overview

This is an opportunity for an intermediate/senior level Offensive Security Professional to join our Product Security team. As an experienced researcher you will help maintain critical security systems within our architecture, as well as assisting the wider engineering and devops practices with their activities. In Product Security our mission is to continuously improve the security posture of BitMEX from the inside, and we are looking for someone capable and flexible who can work with our excellent staff on that mission!

A crypto trading exchange is a security environment that is fairly rare in the infosec industry: we regularly get attacked by nation-state APT groups, we have continuous attempts by everyone from script kiddies to our own users trying to find ways to illegitimately extract money from us, and we protect vast amounts of crypto. All at the same time having a software stack that requires extreme uptime, minimal latency, and absolute accuracy in how it takes and processes orders.

If you want to help protect an environment where the threats are very real and continuous, this is the job for you. We will check that you are not from the DPRK, be warned; it would not be the first (or second, or third) time.

Key Responsibilities

• Manage our bug bounty program, reviewing reports, engaging with researchers and cooperating with software engineering to fix bugs
• Reviewing the outcomes of external penetration tests, replicating issues and again, working with engineering to fix findings
• Conducting internal penetration tests on our software and infrastructure stack
• Red and purple team exercises to test our monitoring
• Security research & threat Intelligence, working with security response
• Application security & code reviews, internal training of engineers
• Being part of incidents to help triage and investigate issues

Qualifications

• 5+ Years in Information Security.
• Proven expertise in offensive security either through certifications, recognition, or referees.
• Strong communication skills and work ethic: contribute actively to the company and become ‘known’
• Candidates with less experience will be considered for an Offensive Security Engineer position.

Nice to have

• Experience with Kubernetes, Istio, Envoy and the AWS cloud platform would be useful. Advanced skills in these (and affiliated technologies) are a bonus but not required.
• Experience with GitHub CI/CD / Actions and/or ArgoCD is a bonus but not required
• Experience with derivatives and cryptocurrency is a bonus but not required.
• Development expertise in Go is a bonus but not required

Why BitMEX?

BitMEX offers a dynamic environment that blends intense work, a vibrant culture, and diversity. We actively recruit across time zones to meet growing demands and attract top global talent.

We're seeking determined, responsible, and collaborative individuals to join us in building a leading cryptocurrency ecosystem. We value meticulousness, agility, and simplicity. As a 24/7 global exchange, we look for adaptable team players who can excel in a diverse, cross-market environment.

In addition, we offer an industry leading benefits package to our permanent employees. Here’s a peek into what we offer:

• Work from home to help you find the perfect balance between work, family and personal life
• 25 days of annual leave, on top of public holidays, as well as maternity, paternity and childcare leave… etc to accommodate your growing responsibilities
• A top tier & comprehensive medical, dental and vision policy for you and your dependents
• Professional development allowance to support your career advancement
• Access to our annual wellness benefits to cultivate your physical and mental growth
• Don’t forget the advantage of our Beyond Border Remote Working policy, where you get to work away from your home country
• Team building & offsite events to bring our global team closer
• Life insurance coverage to provide a safety net for your family’s future

#LI-CH1

We’re not hiring someone to run models. We’re hiring someone who builds systems that think.

At SimplifyNext, our AI Engineers are core to how we deliver transformation — designing and deploying intelligent systems that genuinely change how organisations operate. You won’t be a supporting act to another team. You’ll be the one building the agents, pipelines, and infrastructure that make our AI products real.

We work across public sector and enterprise, at the intersection of AI, automation, and product-led transformation. If you’re energised by hard engineering problems, care about production outcomes - not just research benchmarks - and want your work to reach real users at scale, read on.

What You'll Do

1. Build Agentic AI Systems

• Design and build sophisticated AI agents capable of independent operation, complex decision-making, and self-correction across domain-specific contexts.
• Develop orchestration workflows using frameworks such as LangChain, LangGraph, and/or the Microsoft Bot Framework to create robust conversational and task-oriented agents.
• Implement Retrieval-Augmented Generation (RAG) systems that connect agents to live, accurate knowledge bases — reducing hallucinations and improving output quality.
• Build Memory, Reasoning, and Planning (MRP) capabilities so agents can maintain context, reason across information, and execute multi-step plans.
• Design Agent-to-Agent (A2A) communication protocols that allow multiple autonomous agents to collaborate, delegate tasks, and exchange information securely.
• Work with LLM serving solutions (Ollama, vLLM) to ensure efficient, scalable inference in production environments.

2. Deploy and Operate at Scale

• Deploy and manage AI systems on major cloud platforms — AWS, Azure, or GCP — ensuring high availability, security, and scalability.
• Containerise applications with Docker and orchestrate deployments with Kubernetes, including end-to-end on-premise cluster setup and management.
• Build and maintain CI/CD pipelines using tools like Argo (Argo Workflows, Argo CD) for reliable, automated delivery of AI services.
• Expose AI capabilities through well-documented, performant APIs that integrate seamlessly with client-facing systems and applications.

3. Train and Fine-tune Models

• Train, fine-tune, and optimise custom AI models using TensorFlow and/or PyTorch, particularly where off-the-shelf models don’t meet specific project requirements.
• Run structured experiments — hyperparameter tuning, ablations, model evaluation — to hit performance targets with confidence.
• Stay current with the latest developments in large language models and agentic AI, and bring new techniques into our systems proactively.
• Work across diverse data modalities: text, image, time-series, and graph-structured data.

Who You Are

Must-Have

• Production mindset — you’ve shipped AI systems to real users, not just demos.
• Strong fundamentals in agentic AI — you understand how to design agents that are reliable, not just impressive.
• Hands-on with at least one major cloud platform (AWS, Azure, or GCP) for deploying and managing AI workloads.
• Solid Python engineering skills and comfort working in a Git-based, collaborative codebase.
• Experience with containerisation (Docker) and orchestration (Kubernetes) in real deployment contexts.
• Clear communicator — able to explain complex technical decisions to non-technical stakeholders.

Good to Have

• 3–7 years in AI/ML engineering or a closely related role (data engineering, MLOps, applied research).
• Hands-on experience with LangChain, LangGraph, Ollama, vLLM, or similar orchestration and serving tools.
• Demonstrable RAG system implementation and optimisation experience.
• Familiarity with Memory, Reasoning, and Planning (MRP) concepts and Agent-to-Agent (A2A) protocol design.
• Experience with MLOps tooling, particularly Argo Workflows and Argo CD.
• Proficiency in TensorFlow and/or PyTorch for model training and fine-tuning.
• Exposure to knowledge graphs, semantic web technologies, or prompt engineering strategies.

This role is not for you if…

• You’ve only worked with AI in sandboxed or prototype environments and haven’t dealt with production reliability challenges.
• You prefer to work from a detailed spec rather than figuring out the right approach as you go.
• You treat deployment as someone else’s problem
• You measure success by models trained, not by outcomes delivered.

Why SimplifyNext

We partner with governments and enterprises to shift from project delivery to product thinking. That means working on problems that genuinely matter — healthcare access, business licensing, workforce development — and being held accountable for outcomes, not just deliverables.

As a Mechatronics Specialist/Engineer, you will play a pivotal role in designing and optimizing state-of-the-art electromechanical systems. Your expertise will drive the innovation of our motor designs and control systems, enhancing efficiency and performance.

Responsibilities:

• Specify, test, and tune BLDC motors, harmonic drives, and customized gearboxes.
• Design motor control firmware (FOC) for maximum efficiency and torque density.
• Collaborate with mechanical engineers on joint design and thermal management.

Required Skills:

• Deep understanding of electromechanical systems and motor physics.
• Experience writing firmware in C/C++ for microcontrollers.
• Hands-on experience with industrial communication protocols (EtherCAT, CAN bus).

Established in 2020, the Singapore Studio is Riot’s second international game development studio. Riot has been expanding our footprint in Asia and accelerating our talent growth to develop games that deliver great experiences to our players. Our mission is to “scale Riot’s games to hyper-serve players.”

We partner with our LA headquarters on game development for League of Legends, Teamfight Tactics, and Legends of Runeterra. We’re also building teams for VALORANT and 2XKO, our take on a fighting game. The Singapore Studio is seeking talented, passionate craft experts with backgrounds in all areas of game development to build games that make it better to be a player. 

We’re focused on working together to promote individual autonomy, ownership, collaboration, and inclusivity, so everyone can be their best while we boldly pursue games.

That's where you come in.

As a QA Engineer II (Contract) on Teamfight Tactics, you will work with numerous disciplines to drive quality ownership across the software development life cycle, as well as helping to establish and execute team wide quality goals. You will work with your team of artists, producers and project managers to create value for Players around the world. It will be important for you to aggressively protect the player experience and deliver results in a high pressure, agile development environment.  You will also be tasked to work with other QA professionals, often remotely to get your work completed.

Please note that Riot Games does not offer relocation packages for this position. You need to be able to work legally in Singapore, without Riot Games’ sponsorship, to be considered.

Responsibilities:

• Impact/Scope
  • Your execution of quality activities (testing, risk assessment) impacts the quality, efficiency and effectiveness of your team and closely related teams.  You have specific recommendations for improvements on the development process and quality of the products you work on.
• Complexity
  • You solve complex problems by innovating on best practices, and implement new ways of approaching  and mitigating quality risks. 
• Supervision/Oversight
  • You need little instruction on day-to-day work, and you are able to operate independently, while also instructing junior QA and external testers in their day to day tasks. 
• Craft Knowledge
  • Your skills show expertise in one area, and you are able to deploy a variety of craft elements to solve increasingly complex problems.

Required Qualifications:

• 3+ years Software Quality Assurance Experience, with success leading testing efforts on a team.
• Experience tasking remote testers and providing feedback on effectiveness.
• Experience managing components of a defect database.
• Experience working embedded with developers and content creators.
• Experience creating custom reports on test coverage and defect data.
• Experience designing and executing test plans.

Desired Qualifications:

• Experience with Teamfight Tactics
• Development experience across several platforms; mobile, console, and PC.
• Preferred Licenses/certifications:
• ISTQB Foundation Level
• ISTQB Agile Tester or ICAgile Agile Testing (ICP-TST)
• ISTQB Expert Level
• ISTQB Advanced Test Manager
• ICAgile Test Expert (ICE-AT)

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players.

As a member of our organization, you will be responsible for testing electronic components and making go/no-go decisions based on inspection results and test center findings. You will ensure that all testing processes are fully completed and that appropriate actions are taken to screen for part quality, counterfeit risks, and compliance with relevant standards. Additionally, you are expected to use all testing tools and equipment correctly, and to maintain them properly to ensure consistent accuracy and reliability. 

What We Can Do for You

• Provide training to give you the knowledge to thrive in a fast-paced environment 
• Offer support through a collaborative, and open environment with proven professionals with decades of QC expertise. 
• Enable growth through direct and focused mentorship. 

What You Can Do for Us  

• Perform detailed inspection and testing of electronic components in accordance with customer requirements, internal procedures, and IDEA-1010 counterfeit prevention standards.
• Analyze and document test and inspection results and effectively communicate findings to the Quality team, Warehouse, and Commodity Managers.
• Ensure proper disposition of components post-inspection, directing conforming parts to approved storage locations and quarantining non-conforming or suspect components.
• Verify complete and proper execution of all quality procedures in alignment with quality and industry standards
• Follow strict ESD handling procedures to safeguard sensitive components and maintain a contamination-free environment.
• Collaborate with cross-functional teams to enhance quality processes and achieve the goal of zero defects.
• Identify and recommend process enhancements, workflow adjustments, and equipment upgrades to improve testing efficiency and effectiveness. 

Who We’re Looking For 

• A Diploma or Bachelor's degree in Electrical/Electronic Engineering, Mechanical Engineering, or a related field is required.
• 1 to 3 years of work experience in a warehouse environment.
• Available to work overtime on weekends when necessary to support high-volume shipments.
• A high-energy, smart, and persistent individual, driven to succeed and revolutionize an industry.
• Ability to juggle multiple tasks and inputs in a fast-moving environment.  
• Proficient with standard business tools (email, voicemail, MS Office 365, etc.). 

Benefits 

• Attractive salary structure with medical and dental benefits
• State of the Art Open Concept Working Environment
• Collaborative and Motivated Team
• Supportive management who are invested in your success  
• Attire: Smart Casual
• Walking distance from Tai Seng train station 

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! 

As a Backend Engineering Lead you'd be able to work on and solve many interesting challenges which we are facing, learn new ways of working, and help build delightful high quality products for our customers.  

Key Responsibilities

Technical Vision and Strategy

• Defines and communicates the technical vision and strategy for the engineering team, aligning it with overall business objectives.
• Evaluates emerging technologies and industry trends — including AI/ML capabilities, LLM-based tooling, and agentic frameworks — to inform technical roadmaps and architectural decisions.

Team Leadership and Mentorship

• Leads and mentors a team of engineers, fostering a culture of collaboration, innovation, and continuous learning.
• Provides guidance and support to team members, empowering them to grow both technically and professionally.
• Builds AI literacy across the team — ensuring engineers can effectively leverage AI-assisted development tools (code generation, automated review, test generation) while maintaining critical thinking about AI outputs.
• Coaches engineers on prompt engineering, AI pair-programming workflows, and when to trust vs. verify AI-generated code.

Project Management and Execution

• Manages technical projects from inception to delivery, overseeing planning, execution, and quality assurance processes.
• Coordinates with cross-functional teams, including product management, design, and QA, to ensure successful project outcomes.
• Incorporates AI-augmented estimation and planning tools where appropriate, while maintaining accountability for delivery commitments.

Architecture and Design

• Designs and implements scalable, maintainable, and extensible software architectures, considering factors such as performance, security, and scalability.
• Leads architectural discussions and collaborates with senior engineers to drive consensus on design decisions.
• Architects systems with AI integration patterns in mind — designing clean boundaries for AI/ML components, defining contracts between deterministic and probabilistic systems, and planning for model versioning, fallback strategies, and graceful degradation.

Technical Excellence

• Sets high standards for code quality, performance, and maintainability, and ensures adherence to best practices and coding standards.
• Conducts code reviews and provides constructive feedback to ensure the delivery of high-quality software solutions.
• Establishes guardrails and review standards for AI-generated code — ensuring it meets the same quality bar as human-written code, with particular attention to security, edge cases, and maintainability.
• Champions responsible AI practices: output validation, bias awareness, hallucination mitigation, and appropriate human-in-the-loop controls for critical paths.
  
  

Operational Ownership

• Takes end-to-end ownership of the systems the team builds — from deployment through production reliability, performance, and incident response.
• Drives operational maturity: SLOs/SLIs, alerting hygiene, runbook coverage, on-call readiness, and post-incident reviews that produce lasting improvements, not just action items.
• Ensures the team builds with production in mind from day one — observability, graceful degradation, and failure modes are first-class design concerns, not afterthoughts.
• Instils a "you build it, you run it" culture where engineers feel genuine accountability for what they ship and how it behaves under real-world conditions.

Problem-Solving and Decision-Making

• Demonstrates advanced problem-solving skills, leveraging deep technical expertise and critical thinking to address complex technical challenges.
• Makes informed decisions under uncertainty, weighing technical trade-offs and considering long-term implications.
• Knows when AI is the right tool for a problem and when it isn't — resists the pressure to "add AI" where simpler, more deterministic solutions are more reliable and cost-effective.
• Leverages AI-assisted analysis (log analysis, incident correlation, root cause detection) to accelerate debugging and reduce mean time to resolution.

Stakeholder Management and Communication

• Builds strong relationships with stakeholders, including product managers, business leaders, and other engineering teams, to understand requirements and priorities.
• Communicates technical concepts and project status effectively to both technical and non-technical stakeholders, adapting communication style as needed.
• Translates AI capabilities and limitations into business terms — sets realistic expectations around what AI can deliver, timelines for AI-powered features, and the ongoing cost of maintaining AI systems (compute, data quality, model drift).
• Educates stakeholders on the difference between demo-grade AI and production-grade AI, managing enthusiasm without stifling innovation.

Risk Management and Mitigation

• Identifies and mitigates technical risks proactively, anticipating potential issues and implementing contingency plans to minimize impact on project timelines and deliverables.
• Maintains a focus on security, privacy, and compliance requirements, ensuring that systems and processes adhere to relevant standards and regulations.

Continuous Improvement and Innovation

• Drives a culture of continuous improvement and innovation within the engineering team, encouraging experimentation, knowledge sharing, and adoption of new technologies.
• Promotes automation, tooling, and process enhancements to improve efficiency, reliability, and scalability of development workflows.
• Runs structured experiments with AI tools and workflows — measuring real impact on velocity, quality, and developer experience rather than relying on anecdotal evidence.
• Builds internal knowledge sharing around AI use cases, effective patterns, and lessons learned — creating a feedback loop that accelerates the team's AI maturity.
• Actively contributes to agentic AI workflows for automating repetitive engineering tasks (test generation, migration scripts, documentation, incident triage) while maintaining human oversight on critical decisions.
  
  

Leadership and Influence

• Leads by example, demonstrating integrity, accountability, and a commitment to excellence in all aspects of work.
• Inspires and motivates team members to achieve their full potential, fostering a positive and inclusive team culture.
• Positions the team as AI-forward without being AI-reckless — models the discipline of evaluating AI tools critically, adopting what works, and discarding what doesn't.
• Shapes the engineering organization's AI adoption narrative, contributing to company-wide standards, governance frameworks, and best practices for AI in production systems.

Role Specific Technical Competencies:

• Strong technical background in (AWS, Spring Boot, Kotlin, K8s, Microservices, Kafka, Istio, event-driven architecture).
• Exposure to Cloud Technologies, SRE (Site Reliability Engineering), and DevOps concepts with a focus on automation.

Our Ideal Candidate: 

• 10+ years of overall experience with the majority of this experience as an Engineering Lead or Manager.
• Experience working in Fintech / Financial organisations is an added advantage.
• At least 5 years of demonstrable leadership experience, at an individual team level and working across demographically distributed teams and organizational boundaries.
• Good experience in creating actionable strategies, with clear outcomes, and continuous measurement of progress.
• Ability to produce and communicate effective and insightful thought leadership on technical topics.
• Strong technical background in (AWS, Spring Boot, Kotlin, K8s, Microservices, Kafka, Istio, event-driven architecture).
• Exposure to Cloud Technologies, SRE (Site Reliability Engineering), and DevOps concepts with a focus on automation.
• Ability to take ownership and deliver results in a challenging client-facing environment.
• A degree in a relevant area of study would be helpful but not mandatory

About the role

In partnership with SBI Group, we are building a next-generation decentralized exchange (DEX) aimed at bringing the majority of Japanese equities on-chain. Our goal is to create a secure, transparent, and high-performance trading infrastructure capable of supporting institutional volumes while remaining accessible to retail participants. The platform features a fully on-chain order book and is powered by a custom state transition function and consensus layer, purpose-built for low-latency, high-throughput trading.

As the Senior QA Engineer, you will be the quality champion for this system and cover core trading flows, order book behavior, matching logic, and backend services powering execution. As the first senior-level QA on the team, you will own the end-to-end quality strategy with a strong emphasis on automation, ensuring the correctness, reliability, and performance of both API and E2E layers under real-world trading conditions.

This is a hands-on role focused on building robust E2E and API test coverage, not manual testing.

Key responsibilities

• Quality strategy & process: Define and evolve QA standards, release criteria, and quality metrics tailored to a trading platform. Establish best practices for validating execution accuracy, pricing, and API reliability.

• Automation (E2E-first approach):

  Design, build, and maintain a scalable end-to-end automation framework for the web app, covering critical user journeys.

• API testing & validation:

  Develop comprehensive automated tests for backend services and APIs. Ensure consistency between API responses and frontend behavior.

• Trading logic validation:

  Validate correctness of execution paths, price impact, and fee calculations across different trading pairs and liquidity sources.

• Performance & reliability:

  Drive API-level load and stress testing for high-throughput scenarios. Validate system behavior under peak traffic and degraded conditions (timeouts, partial failures, node issues).

• Test data & environment strategy:

  Design reliable test environments and datasets (mocked or real blockchain interactions), ensuring repeatability of E2E and API tests.

• Cross-team collaboration & leadership:

  Work closely with Engineering and Product to define testable acceptance criteria. Take ownership of QA processes, drive automation adoption, and set quality standards across the team.

Qualifications

Required experiences

• 3+ years in QA for web or fintech products, with at least 2+ years focused on test automation and E2E testing.
• Strong experience building and maintaining E2E test frameworks (e.g. Playwright, Cypress, or similar).
• Solid experience in API testing and automation (REST, JSON-RPC, or similar).
• Strong JavaScript/TypeScript skills.
• Experience testing complex transactional or financial systems.
• Good understanding of trading concepts: slippage, liquidity, routing paths, execution flow.
• Experience designing stable, maintainable automated test suites (CI integration, flakiness reduction).

Nice-to-have

• Experience testing DEXs, trading platforms, or financial systems.
• Familiarity with blockchain basics, smart contracts, and on-chain transaction flows.
• Understanding of AMMs, liquidity pools, and routing algorithms.
• Experience with performance/API load testing tools (e.g. k6, Artillery).
• Experience using AI tools to improve test generation and coverage.

About the role

You will be a senior contributor to our frontend product experience, working across our product suite, including our self-custodial wallet interfaces, account abstraction user flows, and a growing set of web and mobile decentralized applications (dApps). As a senior frontend engineer on the team, you will help shape frontend architecture, deliver complex user-facing features, and embed performance, reliability, and usability best practices into every release.

You will work closely with designers, product managers, and engineers to take features from concept to production, while contributing to improving code quality, system design, and team workflows.

Key responsibilities

Frontend architecture & technical contributions: Contribute to the evolution of frontend system design, patterns, and best practices.

Application development: Design, build, and maintain complex, production-grade frontend applications using TypeScript and TanStack Start.

State management & data orchestration: Implement and maintain scalable client-side state using Zustand and TanStack Query to ensure predictable and performant data flows.

Project ownership: Own and deliver end-to-end frontend workstreams, including:

• Core wallet and account abstraction UX flows
• High-throughput, data-rich product interfaces
• New web and mobile dApp surfaces

Testing & reliability: Contribute to and maintain Playwright-based end-to-end test suites to improve coverage and release confidence.

Cross-functional collaboration: Partner with Product, Design, and Backend teams to refine requirements and deliver high-quality outcomes.

Qualifications

Required experience

• 2 ~ 4 years of experience as a frontend engineer
• Strong proficiency in TypeScript and modern JavaScript.
• Experience with TanStack Start or comparable meta-frameworks (e.g., Next.js, Remix).
• Solid expertise in modern React patterns, performance optimization, and frontend application design.
• Ability to operate independently in ambiguous, fast-paced environments.
• Excellent written and verbal communication skills.

Nice-to-have

• Experience leveraging AI-assisted coding tools (Cursor, Copilot, Claude, or similar) to accelerate development.
• Background in web3, blockchain, or decentralized application development.
• Experience in startup or scale-up environments.

Location and logistics

• East Asia preferred (Tokyo, Singapore, HongKong)

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.

The Team

Our On-Prem engineering team is responsible for the deployment of Arize in customer environments. In addition to working with customers in defining infrastructure requirements, the team designs and develops software and tooling that enables the management of these systems at large scale. The On-Prem team has grown to be expert in Kubernetes and cloud deployment on GCP, Azure, and AWS as well as dealing with networking and security aspects of on-premise deployments. The team is dynamic and relies on few talented individuals with a high degree of autonomy and initiative. As this role will work with our APJ accounts, we are prioritizing candidates who are based in Singapore.

What You’ll Do

• Work hands-on with the infrastructure that supports our distributed & highly scalable services in both SaaS and on-prem offerings
• Gather requirements from customers and adapt manifests and software to support new environments
• Use and augment monitoring tools to observe platform health, ensure performance and reliability
• Interact with the product team to test new features and package new on-prem releases
• Automate and optimize the release pipeline to make it as frictionless as possible
• Exhibit continuous curiosity for emerging technology that could solve our challenges

• 3+ years of experience as a DevOps Engineer, Cloud Engineer, Infrastructure Engineer or similar
• Excellent communication skills and ability to work directly with customers to understand and address their infrastructure needs
• Experience and fluency in Kubernetes
• A self starter with an ability to thrived in a fast paced environment
• Experience working with multiple cloud providers (AWS, GCP, Azure) and understanding how to adapt cloud-native architectures for on-premises environments
• Strong troubleshooting skills

Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

Overview

This is an opportunity for an intermediate/senior level Offensive Security Professional to join our Product Security team. As an experienced researcher you will help maintain critical security systems within our architecture, as well as assisting the wider engineering and devops practices with their activities. In Product Security our mission is to continuously improve the security posture of BitMEX from the inside, and we are looking for someone capable and flexible who can work with our excellent staff on that mission!

A crypto trading exchange is a security environment that is fairly rare in the infosec industry: we regularly get attacked by nation-state APT groups, we have continuous attempts by everyone from script kiddies to our own users trying to find ways to illegitimately extract money from us, and we protect vast amounts of crypto. All at the same time having a software stack that requires extreme uptime, minimal latency, and absolute accuracy in how it takes and processes orders.

If you want to help protect an environment where the threats are very real and continuous, this is the job for you. We will check that you are not from the DPRK, be warned; it would not be the first (or second, or third) time.

Key Responsibilities

• Manage our bug bounty program, reviewing reports, engaging with researchers and cooperating with software engineering to fix bugs
• Reviewing the outcomes of external penetration tests, replicating issues and again, working with engineering to fix findings
• Conducting internal penetration tests on our software and infrastructure stack
• Red and purple team exercises to test our monitoring
• Security research & threat Intelligence, working with security response
• Application security & code reviews, internal training of engineers
• Being part of incidents to help triage and investigate issues

Qualifications

• 5+ Years in Information Security.
• Proven expertise in offensive security either through certifications, recognition, or referees.
• Strong communication skills and work ethic: contribute actively to the company and become ‘known’
• Candidates with less experience will be considered for an Offensive Security Engineer position.

Nice to have

• Experience with Kubernetes, Istio, Envoy and the AWS cloud platform would be useful. Advanced skills in these (and affiliated technologies) are a bonus but not required.
• Experience with GitHub CI/CD / Actions and/or ArgoCD is a bonus but not required
• Experience with derivatives and cryptocurrency is a bonus but not required.
• Development expertise in Go is a bonus but not required

Why BitMEX?

BitMEX offers a dynamic environment that blends intense work, a vibrant culture, and diversity. We actively recruit across time zones to meet growing demands and attract top global talent.

We're seeking determined, responsible, and collaborative individuals to join us in building a leading cryptocurrency ecosystem. We value meticulousness, agility, and simplicity. As a 24/7 global exchange, we look for adaptable team players who can excel in a diverse, cross-market environment.

We provide flexible arrangements to our remote contract talents with:

• Work from home to help you find the perfect balance between work, family and personal life
• Paid holidays and leave so you won’t miss out any important events
• Team building & offsite events to bring our global team closer
• Don’t forget the advantage of our Beyond Border Remote Working policy, where you get to work away from your home country
• Option to choose to be paid in fiat or crypto currency, providing the flexibility to shape your financial freedom

#LI-CH1

Overview

This is an opportunity for an intermediate/senior level Offensive Security Professional to join our Product Security team. As an experienced researcher you will help maintain critical security systems within our architecture, as well as assisting the wider engineering and devops practices with their activities. In Product Security our mission is to continuously improve the security posture of BitMEX from the inside, and we are looking for someone capable and flexible who can work with our excellent staff on that mission!

A crypto trading exchange is a security environment that is fairly rare in the infosec industry: we regularly get attacked by nation-state APT groups, we have continuous attempts by everyone from script kiddies to our own users trying to find ways to illegitimately extract money from us, and we protect vast amounts of crypto. All at the same time having a software stack that requires extreme uptime, minimal latency, and absolute accuracy in how it takes and processes orders.

If you want to help protect an environment where the threats are very real and continuous, this is the job for you. We will check that you are not from the DPRK, be warned; it would not be the first (or second, or third) time.

Key Responsibilities

• Manage our bug bounty program, reviewing reports, engaging with researchers and cooperating with software engineering to fix bugs
• Reviewing the outcomes of external penetration tests, replicating issues and again, working with engineering to fix findings
• Conducting internal penetration tests on our software and infrastructure stack
• Red and purple team exercises to test our monitoring
• Security research & threat intelligence, working with security response
• Application security & code reviews, internal training of engineers
• Being part of incidents to help triage and investigate issues

Qualifications

• 5+ Years in Information Security.
• Proven expertise in offensive security either through certifications, recognition, or referees.
• Strong communication skills and work ethic: contribute actively to the company and become ‘known’
• Candidates with less experience will be considered for an Offensive Security Engineer position.

Nice to have

• Experience with Kubernetes, Istio, Envoy and the AWS cloud platform would be useful. Advanced skills in these (and affiliated technologies) are a bonus but not required.
• Experience with GitHub CI/CD / Actions and/or ArgoCD is a bonus but not required
• Experience with derivatives and cryptocurrency is a bonus but not required.
• Development expertise in Go is a bonus but not required

Why BitMEX?

BitMEX offers a dynamic environment that blends intense work, a vibrant culture, and diversity. We actively recruit across time zones to meet growing demands and attract top global talent.

We're seeking determined, responsible, and collaborative individuals to join us in building a leading cryptocurrency ecosystem. We value meticulousness, agility, and simplicity. As a 24/7 global exchange, we look for adaptable team players who can excel in a diverse, cross-market environment.

In addition, we offer an industry leading benefits package to our permanent employees. Here’s a peek into what we offer:

• Work from home to help you find the perfect balance between work, family and personal life
• 25 days of annual leave, on top of public holidays, as well as maternity, paternity and childcare leave… etc to accommodate your growing responsibilities
• A top tier & comprehensive medical, dental and vision policy for you and your dependents
• Professional development allowance to support your career advancement
• Access to our annual wellness benefits to cultivate your physical and mental growth
• Don’t forget the advantage of our Beyond Border Remote Working policy, where you get to work away from your home country
• Team building & offsite events to bring our global team closer
• Life insurance coverage to provide a safety net for your family’s future

#LI-CH1

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. 

Work you’ll do

As an AI Engineer at SimplifyNext, you will be part of a hands-on engineering team building real-world AI and machine learning solutions that create meaningful impact for clients across ASEAN. You will work closely with consultants, architects, and domain experts to translate business problems into deployable AI models, generative AI workflows, and intelligent automation components.

You will have the opportunity to experiment with modern AI frameworks, build prototypes, fine-tune models, and implement AI capabilities end-to-end—from data preparation to deployment. This role is designed for fresh graduates who want to build, break, learn, and innovate within a supportive environment grounded in consulting excellence and deep engineering capability.

Your responsibilities would include but not limited to:

AI & Machine Learning Development

· Build and train machine learning models using Python and modern ML frameworks

· Experiment with generative AI technologies (LLMs, embeddings, prompt engineering, RAG, agentic workflows)

· Support fine-tuning, optimisation, and evaluation of AI models

· Develop reusable AI components and microservices

Data Engineering & Preparation

· Collect, clean, and transform datasets for training and inference

· Perform exploratory data analysis to uncover patterns and insights

· Document data assumptions, limitations, and preprocessing logic

Solution Engineering

· Contribute to AI solution design, model selection, architecture discussions, and implementation approaches

· Integrate AI models into applications, APIs, and automation workflows

· Build proof-of-concepts (POCs) and accelerate client adoption of AI

Testing, Deployment & Delivery

· Conduct model validation, scenario testing, and UAT with internal and client stakeholders

· Support deployment of AI models on cloud platforms (AWS/GCP/Azure) or containerised environments

· Monitor performance and support continuous improvement post-deployment

Collaboration & Consulting Exposure

· Work with functional SMEs to understand business problems and AI opportunities

· Translate complex concepts into simple, understandable terms for non-technical audiences

· Participate in workshops, demos, and client discussions as part of project teams

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, AI, Data Science, or a related field.

• 0–3 years of AI development experience (Fresh graduates are welcome to apply)

• Strong foundation in Python, algorithms, and data structures

• Familiarity with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or HuggingFace

• Understanding of ML fundamentals: supervised/unsupervised learning, model evaluation, feature engineering

• Knowledge of cloud platforms (AWS, GCP, Azure) is a plus

• Familiarity with Git, REST APIs, or notebook-based development is beneficial

• Strong analytical thinking, curiosity, and problem-solving skills

• Passion for AI, experimentation, building things, and delivering quality work

Why Join Us

· Be part of a fast-growing consulting and technology firm driving AI, automation, and next-gen engineering

· Work on high-impact challenges across ASEAN, delivering real-world AI solutions

· Gain hands-on experience from day one with industry experts, architects, and consultants

· Contribute to innovation programmes, accelerators, and AI Centres of Excellence

· Grow rapidly through certifications, mentorship, structured enablement, and exposure to emerging AI technologies

· Join a supportive, high-trust culture that values creativity, experimentation, and continuous learning

Our Platform Engineering team supports enterprise-grade infrastructure environments that power large-scale automation and application workloads. We combine strong engineering discipline with modern platform practices to deliver reliable, scalable, and secure systems for our customers.

What You’ll Do

• You will support and operate enterprise-grade infrastructure platforms hosted across private infrastructure and cloud environments, taking ownership of platform stability and operational excellence.
• Your responsibilities include:
• Administering and maintaining Red Hat Enterprise Linux (RHEL) systems, including security patching, performance monitoring, log analysis, and troubleshooting.
• Automating operational tasks using Bash scripting.
• Managing Kubernetes clusters, including cluster monitoring, node and workload management, persistent volume management, and platform upgrades.
• Troubleshooting operating system and container-level issues across environments.
• Supporting Microsoft SQL Server environments, including database health checks, login and permission management, and performance monitoring.
• Collaborating with infrastructure, network, and database teams to diagnose issues across compute, storage, and networking layers.
• Contributing to structured incident, change, and configuration management processes.
• Maintaining operational documentation and continuously improving platform reliability and efficiency.

What We’re Looking For

We are looking for engineers with a strong ownership mindset who take responsibility for platform reliability and operational quality.

Required Experience & Skills

• Minimum 4 years of experience in infrastructure engineering, platform operations, or system administration roles.
• Strong hands-on experience administering Red Hat Enterprise Linux (RHEL) in production environments.
• Practical experience managing Kubernetes clusters in production.
• Experience working with persistent volumes and enterprise storage integration within Kubernetes.
• Proficiency in Bash scripting for automation of operational tasks.
• Solid understanding of infrastructure networking fundamentals such as DNS, firewall rules, routing concepts, and load balancing.
• Experience in private data centre and/or cloud environments (e.g., AWS).
• Exposure to tools such as ArgoCD or similar GitOps workflows is a plus.
• Singapore Citizen (required due to projects in regulated industry verticals).

Why Join Us

• Structured certification sponsorship and mentorship.
• Exposure to modern Kubernetes-based enterprise platforms.
• Opportunity to grow into senior engineering and infrastructure leadership roles.
• Work alongside experienced architects and consulting leaders in a fast-growing technology firm.

About impact.com

impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products—Performance (affiliate), Creator (influencer), and Advocate (customer referral)—unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands, including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics, rely on impact.com to power more than 225,000 partnerships that deliver measurable business results.

Your Role at impact.com:

As a Lead Integration Engineer, you are an expert in Impact technology and are responsible for leading onboarding engagements, as well as delivering custom engineering and advanced technical support to customers who purchase those services, or as determined by the Impact leadership team.

You will own and lead technical onboarding and implementation, ensuring smooth integration delivery, and effective coordination across internal teams and client stakeholders.

As a Lead Integration Engineer, you will resolve or escalate advanced technical troubleshooting issues in a timely and efficient manner, as well as assist with technical solutions and tech issues for our clients. Specific activities will include interfacing with clients (business and technical) and answering questions on the integration process and technology, best practices, and performance expectations, using empowerment, trust, and other strategies as appropriate.

You will also contribute to improving onboarding processes, implementation frameworks, and best practices, helping to drive consistency, scalability, and efficiency across client integrations.

What You'll Do:

• Lead end-to-end onboarding engagements, including technical implementation and coordination across internal teams and client stakeholders
• Own and drive technical integration delivery for new clients, ensuring a smooth transition from onboarding to ongoing support
• Design and refine onboarding and implementation best practices to improve efficiency and scalability
• Communicate clearly with clients on integration processes, timelines, best practices, and performance expectations
• Manage incoming support requests on ticketing platforms to ensure issues are followed up on and resolved
• Take end-to-end ownership of customer technical issues, including troubleshooting, root cause identification, resolution, and communication
• Provide technical assistance internally (other departments) and externally (clients)
• Triage issues and escalate to appropriate teams as needed
• Help test and replicate issues to shorten time to resolution
• Manage, plan, design, and implement advanced technical integrations
• Develop deep product knowledge across Impact technologies
• Enrich client knowledge bases with relevant technical documentation
• Create Dev Jira tickets to address product-related technical issues
• Identify and scope tools or reports to improve troubleshooting processes
• Serve as a go-to technical expert for Client Success and other internal teams
• Provide technical support during the sales process as needed
• Support internal projects such as training and readiness for new feature releases

What You Bring:

• Technical Mastery: Extensive hands-on experience with web technologies, including HTML, JavaScript, SQL, and REST APIs
• Integration Expertise: Proven ability to design, implement, and troubleshoot complex technical integrations
• Onboarding & Implementation Ownership: Experience leading or owning technical onboarding engagements, ensuring smooth client implementations and delivery
• Solution-Oriented Mindset: Strong problem-solving skills with a deep curiosity for resolving complex customer technical challenges
• Ability to pair technical expertise with a considerate, customer-centric communication style that maintains a strong interpersonal presence.  This style is calm, constructive, and solution-oriented - while showing patience, empathy, and professionalism when supporting stakeholders of varying technical expertise.
• A proven track record of delivering significant value through the hands-on application of AI to real-world challenges and opportunities, grounded in a sophisticated understanding of its core principles.
• Strategic & Operational Thinking: Ability to navigate ambiguity, prioritize effectively, and improve processes for scalability and efficiency
• Cross-Functional Collaboration: Proven ability to work effectively across Product, Engineering, Client Success, and external client teams
• Proven Experience: 6+ years in a senior technical role within a SaaS or digital marketing environment, with experience leading complex implementations
• Industry Knowledge: Strong understanding of SaaS platforms and enterprise client solutions; affiliate/partnership marketing experience is a plus
• Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Benefits and Perks:

At impact.com, we believe that when you’re happy and fulfilled, you do your best work. That’s why we’ve built a benefits package that supports your well-being, growth, and work-life balance.

• Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.
• Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.
• A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.
• Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.
• Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.
• Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses

impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

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.

Scope 

We are seeking an experienced Memory Lead Engineer with expertise in memory technologies including SRAM, DRAM, HBM, RRAM, and MRAM. Energy Efficient memory has become vital for Ambiq’s products, particularly as edge AI workloads grow in complexity.  As a Memory Lead Engineer, you will be responsible for end-to-end memory deployments into our products, such as defining the memory roadmap, memory evaluation, recommending memory architectures and circuit design strategies, leading memory characterization, and more.  Your role will involve working closely with cross-functional teams, including system architects, circuit designers, and process engineers within Ambiq, as well as third-party memory vendors and foundries.

Responsibilities

• Research and analyze the latest memory technologies to understand their characteristics, advantages, and its limitations to provide energy efficient memory solution
• Collaborate with system architects and product teams to define memory requirements and specifications for next-generation products.
• Evaluate and simulate memory circuits and develop memory architecture and customization proposals.
• Serve as lead using both internal and third-party resources to implement new memory architectures and customizations.
• Lead memory characterization and compiler efforts.
• Conduct detailed circuit and system-level simulations to evaluate memory performance, stability, and reliability.
• Work closely with process engineers and third-party foundry engineers to ensure high yield and reliability for new memories.
• Conduct thorough analysis of memory test data, identify issues, and propose design enhancements or process modifications.
• Stay up to date with the latest advancements and industry trends in emerging memory technologies and contribute to technical discussions and brainstorming sessions.

Qualifications

• Bachelor’s degree in electronics engineering or a related field. A master's or Ph.D. degree is preferred.
• Experience in memory architecture design and memory compilers, particularly in HBM, SRAM, DRAM, MRAM, and RRAM. Proficiency in low power and high-performance memory technologies.
• Strong understanding of memory architectures, including memory cells, sense amplifiers, drivers, and peripheral circuits.
• Proficiency in industry-standard EDA tools for circuit simulation and design.
• Experience running memory characterization using standard EDA tools.
• Knowledge of layout design principles and experience working closely with layout designers.
• Familiarity with semiconductor manufacturing processes and integration challenges.
• Ability to conduct detailed analysis and troubleshooting of memory test data.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Strong communication and teamwork skills to collaborate with cross-functional teams.
• Demonstrated ability to adapt to changing project priorities and meet tight deadlines.

Responsibilities

• Responsible for scan insertion, boundary scan, MBIST, ATPG for ultra-low power SoC based on subthreshold operation using standard EDA tools.
• Develop and implement low-power DFT architecture and infrastructure.
• Generate structural test vectors, analyse, and improve coverage, test time and test cost.
• Perform pre/post-layout scan and MBIST simulations.
• Work with designers on STA, physical, power and logical issues related to DFT.
• Work with test engineers to bring up test vectors on silicon.

Qualifications 

• BS/MS in ECE/EE and at least 10 years of experience in DFT implementation.
• Skilled in different types of DFT structures, including scan (Stuck-At, At-Speed, Path-Delay), scan compression, boundary scan and MBIST.
• Experience in creating and implementing hierarchical DFT architecture in complex SoC.
• Experience in Low-Power DFT and MBIST.
• Experience in test time and test coverage analysis for scan and MBIST patterns.
• Experience in working with test engineering team to bring up production test program. 
• Extensive knowledge of timing concepts and constraint development.
• Experience in developing scan ATPG and MBIST test benches and simulation in pre/post-layout environments.
• Experience in RTL is required.
• Experience in scripting like Tcl is preferred.
• Experience with GLS (gate level simulation) is preferred.
• Motivated, self-driven engineer with attention to detail.
• Strong verbal and written English communication skills.

About the Team

The Cloud Performance Engineering team is responsible for building cloud native ClickHouse Cloud Platform that will transform the OLAP space. Our team is looking for exceptional performance engineers with a proven track record of understanding the performance limits of different distributed databases and creating tools for measuring the performance and scalability of complex systems. The ideal candidate for this position is a distributed systems performance engineer with a strong background in database benchmarking, test automation, system engineering, performance analysis, and capacity management. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance, server less clickHouse Cloud.

What will you do?

• Benchmark system performance, database performance analysis, capacity sizing and optimization.
• Ability to troubleshoot and debug application and server errors and logs and triage accordingly
• Recommend configuration tuning/optimizations for performance bottlenecks
• Work closely with ClickHouse core development team, cloud team, security team and partner with them to improve the performance of ClickHouse Cloud.
• Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities
• Develop, deploy and manage tools to systematically run chaos experiments and measure impact
• Enjoy working on, and gaining a deep understanding of, large scale distributed systems
• Study the problems in the software resilience, operational, and delivery spaces
• Extend our entire backend to enable Chaos Engineering techniques in the system
• Observe running systems, and determine/prioritize innovative ways to disrupt them

About you:

• You have 6+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
• Software development experience in Go, C/C++, Java, or similar.
• Experience with concurrency, multithreading, and the deployment of distributed system architectures
• Experience developing cloud infrastructure services, preferably with Kubernetes.
• Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
• Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2).
• You have excellent communication skills and the ability to work well within a team and across engineering teams.
• You are a strong problem solver and have solid production debugging skills.
• You are passionate about efficiency, availability, scalability and data governance.
• You Thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
• You have a high level of responsibility, ownership, and accountability

#LI-Remote

About the Team

The Cloud Performance Engineering team is responsible for building cloud native ClickHouse Cloud Platform that will transform the OLAP space. Our team is looking for exceptional performance engineers with a proven track record of understanding the performance limits of different distributed databases and creating tools for measuring the performance and scalability of complex systems. The ideal candidate for this position is a distributed systems performance engineer with a strong background in database benchmarking, test automation, system engineering, performance analysis, and capacity management. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance, server less clickHouse Cloud.

What will you do?

• Benchmark system performance, database performance analysis, capacity sizing and optimization.
• Ability to troubleshoot and debug application and server errors and logs and triage accordingly
• Recommend configuration tuning/optimizations for performance bottlenecks
• Work closely with ClickHouse core development team, cloud team, security team and partner with them to improve the performance of ClickHouse Cloud.
• Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities
• Develop, deploy and manage tools to systematically run chaos experiments and measure impact
• Enjoy working on, and gaining a deep understanding of, large scale distributed systems
• Study the problems in the software resilience, operational, and delivery spaces
• Extend our entire backend to enable Chaos Engineering techniques in the system
• Observe running systems, and determine/prioritize innovative ways to disrupt them

About you:

• You have 6+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
• Software development experience in Go, C/C++, Java, or similar.
• Experience with concurrency, multithreading, and the deployment of distributed system architectures
• Experience developing cloud infrastructure services, preferably with Kubernetes.
• Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
• Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2).
• You have excellent communication skills and the ability to work well within a team and across engineering teams.
• You are a strong problem solver and have solid production debugging skills.
• You are passionate about efficiency, availability, scalability and data governance.
• You Thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
• You have a high level of responsibility, ownership, and accountability

#LI-Remote

About the Team

The Cloud Engineering team is responsible for building the cloud native ClickHouse Cloud Platform that will transform the OLAP space. Our team is looking for exceptional performance engineers with a proven track record of understanding the performance limits of different distributed databases and create tools for measuring the performance and scalability of complex systems. The ideal candidate for this position is a distributed systems performance engineer with a strong background in database benchmarking, test automation, system engineering, performance analysis, and capacity management. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance, server less ClickHouse Cloud.

What will you do?

• Benchmark system performance, database performance analysis, capacity sizing and optimization.
• Troubleshoot and debug applications, server errors, logs, and triage accordingly.
• Recommend configuration tuning/optimizations for performance bottlenecks.
• Work closely and partner with ClickHouse's core development team, cloud team, and security team to improve the performance of ClickHouse Cloud.
• Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities
• Develop, deploy and manage tools to systematically run chaos experiments and measure impact
• Enjoy working on, and gaining a deep understanding of, large scale distributed systems
• Study the problems in the software resilience, operational, and delivery spaces
• Extend our entire backend to enable Chaos Engineering techniques in the system
• Observe running systems, and determine/prioritize innovative ways to disrupt them

About you:

• You have 6+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
• Software development experience in Go, C/C++, Java, or similar.
• Experience with concurrency, multithreading, and the deployment of distributed system architectures
• Experience developing cloud infrastructure services, preferably with Kubernetes.
• Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
• Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2).
• You have excellent communication skills and the ability to work well within a team and across engineering teams.
• You are a strong problem solver and have solid production debugging skills.
• You are passionate about efficiency, availability, scalability and data governance.
• You Thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
• You have a high level of responsibility, ownership, and accountability

#LI-Remote

About the Team

The Cloud Performance Engineering team is responsible for building cloud native ClickHouse Cloud Platform that will transform the OLAP space. Our team is looking for exceptional performance engineers with a proven track record of understanding the performance limits of different distributed databases and creating tools for measuring the performance and scalability of complex systems. The ideal candidate for this position is a distributed systems performance engineer with a strong background in database benchmarking, test automation, system engineering, performance analysis, and capacity management. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance, server less clickHouse Cloud.

What will you do?

• Benchmark system performance, database performance analysis, capacity sizing and optimization.
• Ability to troubleshoot and debug application and server errors and logs and triage accordingly
• Recommend configuration tuning/optimizations for performance bottlenecks
• Work closely with ClickHouse core development team, cloud team, security team and partner with them to improve the performance of ClickHouse Cloud.
• Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities
• Develop, deploy and manage tools to systematically run chaos experiments and measure impact
• Enjoy working on, and gaining a deep understanding of, large scale distributed systems
• Study the problems in the software resilience, operational, and delivery spaces
• Extend our entire backend to enable Chaos Engineering techniques in the system
• Observe running systems, and determine/prioritize innovative ways to disrupt them

About you:

• You have 6+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
• Software development experience in Go, C/C++, Java, or similar.
• Experience with concurrency, multithreading, and the deployment of distributed system architectures
• Experience developing cloud infrastructure services, preferably with Kubernetes.
• Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
• Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2).
• You have excellent communication skills and the ability to work well within a team and across engineering teams.
• You are a strong problem solver and have solid production debugging skills.
• You are passionate about efficiency, availability, scalability and data governance.
• You Thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
• You have a high level of responsibility, ownership, and accountability

#LI-Remote

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.

Role

As a Robotics Software Engineer specializing in Robot Learning and Manipulation, you will drive the design, training, validation and deployment of contact-rich manipulation skills for real-world manufacturing. Your focus will be on solving dexterous, contact-rich assembly tasks. You will develop and integrate advanced sensor-based control strategies and Machine Learning (ML) policies within the Intrinsic Robot Control stack, managing the full model lifecycle - from architecture, large-scale data collection and training to validation, deployment and cycle-time optimization - to meet rigorous industrial standards.

How your work moves the mission forward

• Develop, train, and deploy multi-modal feedback- and interaction controllers to solve high-precision insertion and assembly tasks.
• Lead the AI manipulation model lifecycle, conducting regular trials on industrial hardware to evaluate algorithmic changes and curate high-quality training datasets.
• Architect and build modular components for reinforcement learning and imitation learning, continuously seeking to improve the robustness of contact-rich assembly tasks.
• Stress-test and optimize the real-time execution framework for learned manipulation models within the Intrinsic platform.

Skills you will need to be successful

• PhD or equivalent professional experience in Robot Learning and AI Manipulation (e.g., Applied RL, Visuomotor Policy Learning, Vision-Language-Action models).
• 2 years of professional experience in C++ and Python, with a proven track record of shipping production-quality code.
• ML Frameworks: Deep expertise with JAX, TensorFlow, or PyTorch.
• Hardware Experience: Direct experience testing and iterating on physical robots integrated with vision and force-torque sensors.
• Operational Grit: A desire to spend significant time in the lab, managing hardware experiments and troubleshooting physical-world edge cases.
• Communication: Business fluency in English.

Skills that will differentiate your candidacy

• Multimodal Perception and Control: Expertise in integrating tactile/force sensing and computer vision  for contact-rich tasks.
• Hardware Experience: Direct experience testing and iterating on physical robot manipulators integrated with vision and force-torque sensors.
• Large-Scale Training: Proficiency in training on massive multimodal datasets and managing cloud-based training workflows (e.g. Argo).
• Infrastructure: Experience with cloud-based training (Argo) and deploying inference on the edge.
• Customer Focus: Willingness to travel internationally to analyze customer use cases and deploy solutions under ambitious timelines.