Location: London, England
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
We are looking for a Strategic Account Executive who will play a critical role driving sales and maximizing expansion opportunities within one of our top accounts within Figma. The account you will be responsible for will be Accenture, targeting, building and nurturing positive relationships with key C-level decision-makers, understanding complex business needs, and delivering innovative solutions across our product suite. This is an opportunity to accelerate your career, learn from leading sellers in the industry and build an incredible network of cross functional partners throughout Figma.
What you'll do at Figma:
Manage Accenture to consistently meet or exceed quarterly and annual sales targets
Apply effective discovery and value-selling techniques to build and strengthen C-level relationships
Align with executives on business challenges and gain sponsorship for enterprise wide deployments for a suite of products, identifying where Figma’s roadmap and innovations fit in the long term
Conduct thorough analysis to create strategic account plans that outline company priorities and initiatives, multi-threading at at senior level to build on expansion opportunities
Co-create with cross-functional partners to expertly position Figma, drive deals forward and ensure customer success
Leverage opportunities to advance executive level relationships through in-person meetings and networking opportunities
We'd love to hear from you if you have:
Experience selling to or within Accenture - or you have sold to a Big 4 (PWC, KPMG, EY or Deloite) company or sold large enterprise deals
Experience closing sales, over multiple years, for a software or SaaS business with the highest tier of Enterprise customers (5000+ FTEs), selling to executives
Consistent performance meeting pipeline generation targets for net new business
Demonstrated experience successfully managing complex sales cycles (9 months+)
Proficiency in a sales methodology and process that creates value for customers
While it’s not required, it’s an added plus if you also have:
Experience selling solutions to technical audiences at the highest level in Engineering, Product and Design teams
Demonstrated ability to succeed in a changing environment
Certified in deal qualification and prospect discovery
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: US, Boston, MA
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
As a Senior Platform Software Engineer at Humanoid, you will be at the heart of developing the core OS, data networks and protocols, and fundamental software subsystems for our next-generation humanoid robots. You will help develop the foundational software architectures that allow high fidelity robotic controls and AI development. You will be responsible for writing high-integrity software that runs on our robots, integrating sensors, safety systems, and computing platforms to enable safe human-robot collaboration.
In this role, you will have the opportunity to take full ownership of new systems and directly contribute to the development of our future products. If you are interested in complex embedded software projects, thrive in a fast-paced, collaborative environment, and want to make a real impact on the future of human-robot interaction, we want you on our team!
WHAT YOU’LL DO
- Design & Create Embedded Software: Develop and validate embedded software that ensures our robots can operate at scale in the real world.
- Hardware & Software Integration: Work at the intersection of hardware and software to integrate various robotic components (e.g., sensors, actuators, computing platforms) into a cohesive, fault-tolerant system.
- Lead Cross-Functional Projects: Lead interdisciplinary projects that involve robotic perception, computing subsystems, and software integration, collaborating with engineers across multiple domains.
- Test & Evaluate Systems: Integrate new systems with our robots to test, validate, and ensure that they meet safety requirements and perform reliably in real-world conditions.
- Build Infrastructure for Innovation: Contribute to the development of tools, infrastructure, and operational practices within a small, agile R&D team focused on unlocking new capabilities for Humanoid robots.
- Drive Safety in Robotics: Be part of a team working at the cutting edge of technology to improve the safety and performance of robots operating in real-world, human-centric environments.
- Collaborate Across Teams: Work closely with electrical engineers, software developers, robotics control experts, physical AI developers, and other team members to integrate software systems with robotics hardware, ensuring seamless operation and performance.
WHAT WE'RE LOOKING FOR
- 5+ years of experience developing and deploying production software in embedded systems running Linux (C++, C, Rust, Python, Go).
- Experience developing time-sensitive, performance-critical applications.
- Thorough understanding of Ethernet and IP networking and higher-level protocols like HTTP or gRPC.
- Experience with Linux build environments like Yocto or Buildroot.
- Experience in building Linux kernels and modifying or writing device drivers.
- Experience with NVIDIA’s Jetson platform is a plus.
- Experience working with sensor data, including cameras, lidars, radars, and IMUs is a plus.
- Strong communication skills, with the ability to write clear technical documentation and deliver presentations on complex topics.
- Proven history of leading cross-functional technical projects, including developing technical requirements and driving collaboration across teams.
- Experience working in small, agile teams with fast iteration cycles and interdisciplinary collaboration.
WHAT WE OFFER
- Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
- Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
- 401(k) retirement plan with employer match.
- Equity included–we believe builders should share in what they build.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
For this role in Massachusetts, the expected base salary range is $180K–$250K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
Location: United Kingdom
At thinkcell, we’re seeking bright, creative C++ Developers with a solid theoretical background. Whether you're a seasoned professional or a recent graduate in Computer Science, Physics, or Mathematics, what matters most is your problem-solving ability and C++ skills. At thinkcell, we combine deep technical challenges with a healthy work-life balance and a culture that values thoughtful engineering over rushed delivery. Most of our team is based in Berlin, but we also welcome remote developers working from UTC–1 to UTC+4, reflecting our commitment to flexibility and collaboration across regions.
Ideal candidates have:
Strong C++ programming skills (through education or experience)
A background in Computer Science, Mathematics, or Physics
A passion for elegant, efficient algorithms
Ability to work independently and creative problem-solving approaches
Good command of English (German not required)
How You’ll Work
You’ll collaborate closely with the team, without being stuck in recurring meetings.
Your feature ships when you think it’s ready - no time pressure!
We encourage contributions from anyone
What We Offer
Brilliant Team: Work with international colleagues with strong academic and professional experience
Work–life balance: Flexible working hours and an environment that respects your time and focus.
Stable Environment: Join a market leader with a reliable product.
Competitive salary & Relocation Support to Berlin
Guaranteed raise to 130k EUR after the first year
Our Values
As part of our team, you will embody and help shape the following principles that define us:
Forward Thinking
: We embrace change and challenge the status quo.
Ownership
: We take pride in our work and learn from our mistakes.
Customer First
: We prioritize delivering lasting value.
Unified Team
: We foster collaboration, respect, and integrity.
Strive for Excellence
: We set ambitious goals and pursue quality.
Why is thinkcell the right place for you?
We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we’re a diverse team of over 220 people, committed to innovation and excellence.
think
cell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software.
We can’t wait to see what you’ll bring to the team!
Противоречивые условия: Most of our team is based in Berlin, but we also welcome remote developers working from UTC–1 to UTC+4, reflecting our commitment to flexibility and collaboration across regions; Competitive salary & Relocation Support to Berlin; We encourage applicants from all backgrounds to apply
Location: Hsinchu
Workplace: hybrid
Ajax Systems is expending and is looking for a Hardware Engineer to strengthen our team in Taiwan.
Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses of any scale. To date, the Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation.
As a Senior Hardware Engineer, you will not only design circuits but also serve as a technical cornerstone for our R&D in Taiwan.
We are looking for an expert who brings strategic value: someone who can oversee complex system architectures, consult on cross-departmental optimizations, and mentor the team on high-performance design methodologies. You will be the bridge between innovative concepts and mass-scale manufacturing.
Key Responsibilities
Architecture & Design:
Develop sophisticated schematic solutions and PCB layouts for new Ajax devices, ensuring high reliability and scalability.
Strategic Optimization:
Proactively identify opportunities for cost reduction and performance enhancement through component unification and innovative architectural shifts.
Project Oversight:
Lead complex hardware projects from initial concept through to mass production (10,000+ units/month), ensuring all technical risks are mitigated.
Cross-Functional Consultation:
Act as a subject matter expert for the firmware and supply chain teams to optimize the hardware-software interface and manufacturing yield.
Prototype Lifecycle:
Lead the “bring-up” process, debugging complex issues and defining rigorous testing protocols for design validation.
Requirements
Advanced Circuit Design:
Expert-level calculation of circuit elements and high-fidelity simulations of device behavior.
EDA Mastery:
Professional proficiency in Altium Designer (experience with managed libraries and 3D modeling is preferred).
Design for Excellence (DfX):
Proven track record of designing for LVD/EMC compliance and mass manufacturing (DFM/DFT).
Power Management:
Deep expertise in designing both battery-powered and mains-powered (85–265 VAC) devices.
Full Lifecycle Ownership:
Experience preparing comprehensive production documentation (BOM management, Gerber files, assembly drawings) using Git for version control.
Communication:
Fluent English is required for technical documentation and international collaboration.
Preferred Qualifications
Supply Chain Leadership:
Direct experience working with vendors and manufacturers for high-volume production.
High-Speed Design:
Advanced understanding of Signal Integrity (SI) and Power Integrity (PI). Experience with S-parameters, PDN impedance modeling, and TDR measurements.
System-Level Thinking:
Ability to write or review embedded software (C/C++, STM32) to facilitate deep-level debugging and hardware-software co-design.
Regulatory Mentorship:
Experience guiding products through global certifications (UL, CE, RED), beyond basic compliance.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We're hiring a strong Robotics Learning Engineer to join our Manipulation team based in London.
In this role, you will work on teaching our robots to manipulate the world around them.
This is a role at the intersection of applied deep learning and robotics, and to be set up for success you need both experience of working with real robot hardware (e.g. identifying issues in control or teleop), and applied deep learning (you don’t have to be an expert on cutting edge neural network techniques, but you should be perfectly capable of curating data, fine-tuning a policy on that data and hypothesising potential mitigations when something doesn’t work).
WHAT YOU’LL DO
- Post-train manipulation policies via behaviour cloning and RL; own the full loop from data to deployment.
- Come up with data preprocessing strategies to improve the quality of collected data.
- Work with the simulation team to set up RL training using digital twin, and then iterate on reward and simulation quality to ensure successful transfer to the real world.
- Partner with the data collection organization to drive data collection activities for a specific capability: specify what good data looks like, ensure diversity and coverage, and iterate on instructions.
- Expand observation and action spaces with new components required to support novel capabilities, and work with the Teleoperations team to expose these components to robot operators.
- Partner with Teleoperations and Controls teams to improve motion smoothness and teleoperation experience.
- Interface with hardware design team to ensure that manipulation team findings regarding the current generation of hardware are reflected in future designs.
WHAT WE'RE LOOKING FOR
- 3+ years working on robots (industry or research) with shipped artifacts to show for it. A good understanding of modern teleoperation and low-level control stack.
- Experience with neural network post-training.
- Familiarity with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training, PyTorch or JAX. Ability to profile & debug numerics and write maintainable research code.
- Good familiarity with modern software engineering practices.
- Ability to document experiments clearly and communicate trade‑offs crisply.
Nice to have:
- Experience training VLA models for manipulation (autoregressive, diffusion or flow-matching based). Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks.
- Experience applying RL to robotics problems.
- Publications at top-tier robotics or deep learning conferences or equivalent open‑source contributions.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We're hiring a Senior Simulation Engineer to join our VLA team based in London.
In this role, you will build and maintain simulation environments for dexterous manipulation tasks across industrial, service, and home domains. This is primarily a simulation and reinforcement learning-focused role, so we are looking for experience creating realistic physics-based environments and training RL policies, while experience in robotics isn't strictly required. However, if you don't have such experience, be prepared that you'd need to familiarize yourself with a new domain quickly.
WHAT YOU’LL DO
- Design and implement gym environments for manipulation tasks spanning industrial, service, and home settings, defining appropriate observation spaces, action spaces, and reward functions.
- Analyze and address reward hacking - identify cases where learned policies exploit reward misspecification and iterate on reward design to produce robust behaviors.
- Analyze and reduce the sim-to-real gap by tuning physics parameters, improving asset fidelity, and validating simulation behavior against real-world data.
- Work with third-party vendors to procure, validate, and integrate high-quality 3D assets (objects, fixtures, environments) suitable for physics-based simulation.
- Ensure correct physics setup - contact dynamics, friction, mass properties, joint limits - so that trained policies transfer reliably to hardware.
- Identify and reduce simulation bottlenecks to maximize training throughput and environment step rates.
- Improve our simulation-based evaluation and reinforcement learning infrastructure to support rapid iteration and scaling.
WHAT WE'RE LOOKING FOR
- 3+ years building simulation environments or game-engine-based interactive systems (industry or research) with shipped products, published results, or equivalent artifacts to show for it.
- Deep hands-on experience with at least one physics simulator (Isaac Sim/IsaacLab, MuJoCo, PyBullet, Drake) or equivalent game engine experience (Unreal, Unity) with a focus on physically accurate interactions.
- Strong practical experience running large-scale parallel simulation on GPU clusters and good familiarity with modern GPU-accelerated simulation infrastructure.
- Strong Python; you can profile bottlenecks, debug physics issues, and write maintainable research code.
- Familiarity with modern software engineering practices.
- You document experiments clearly and communicate trade-offs crisply.
Nice to have:
- Robotics or manipulation-specific experience (grasping, contact-rich tasks, deformable objects).
- Experience designing reward functions and training RL policies in simulated environments; solid understanding of common failure modes (reward hacking, distribution shift, sim-to-real gap).
- Experience with NVIDIA Isaac Sim & IsaacLab specifically.
- Experience with domain randomization, system identification, or other sim-to-real transfer techniques.
- Publications at top-tier robotics or RL conferences or equivalent open-source contributions.
- Familiarity with robocasa, robosuite or similar open-source manipulation simulation frameworks.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: London, England
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products.
Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month.
You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI.
We’re particularly interested in engineers who have:
A track record of working on
model training
or
model inference at scale
, or on
low‑level GPU coding
(e.g. CUDA, Triton). Experience with one is great, multiple is even better.
What will I be doing?
As a Senior AI Infrastructure Engineer focused on model training and inference, you will:
Implement and scale
training pipelines
for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.
Build and optimize
inference services
that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks.
Work on
GPU‑level performance
: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.
Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.
Play an active role in
hiring, mentoring, and developing
other engineers on the team.
Raise the bar for
technical standards, reliability, and operational excellence
across Fin's AI platform.
Profile we’re looking for:
These are indicative, not hard requirements
We’re looking to hire
Senior+ AI Infrastructure Engineers
. You’re likely a great fit if:
You have
5+ years of experience in software engineering
, with a strong track record of shipping high‑quality products or platforms.
You hold a
degree in Computer Science, Computer Engineering, or a related field
(or you have equivalent experience with very strong fundamentals).
You have hands‑on experience with
one or more
of the following:
Model training
(especially transformers and LLMs).
Model inference
at scale (again, especially transformers and LLMs).
Low‑level GPU work
, such as writing
CUDA
or
Triton
kernels.
Comfortable working in production environments at
meaningful scale
(traffic, data, or organizational).
You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers.
You take pride in strong
technical fundamentals
, love learning, and are willing to invest in your own development.
Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly.
Bonus skills & attributes
None of these are required, but they’re nice to have:
Experience at
AI native companies
that
train and/or run inference for their own models
(e.g. modern AI labs or AI‑native product companies).
Experience running training or inference workloads on
Kubernetes
.
Experience with
AWS
or other major cloud providers.
Production experience with
Python
in ML or infrastructure contexts.
Demonstrated
passion for technology
through personal projects, open source, meetups, or publishing content about your work and learnings
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Dublin, Ireland
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products.
Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month.
You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI.
We’re particularly interested in engineers who have:
A track record of working on
model training
or
model inference at scale
, or on
low‑level GPU coding
(e.g. CUDA, Triton). Experience with one is great, multiple is even better.
What will I be doing?
As a Senior AI Infrastructure Engineer focused on model training and inference, you will:
Implement and scale
training pipelines
for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.
Build and optimize
inference services
that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks.
Work on
GPU‑level performance
: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.
Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.
Play an active role in
hiring, mentoring, and developing
other engineers on the team.
Raise the bar for
technical standards, reliability, and operational excellence
across Fin's AI platform.
Profile we’re looking for:
These are indicative, not hard requirements
We’re looking to hire
Senior+ AI Infrastructure Engineers
. You’re likely a great fit if:
You have
5+ years of experience in software engineering
, with a strong track record of shipping high‑quality products or platforms.
You hold a
degree in Computer Science, Computer Engineering, or a related field
(or you have equivalent experience with very strong fundamentals).
You have hands‑on experience with
one or more
of the following:
Model training
(especially transformers and LLMs).
Model inference
at scale (again, especially transformers and LLMs).
Low‑level GPU work
, such as writing
CUDA
or
Triton
kernels.
Comfortable working in production environments at
meaningful scale
(traffic, data, or organizational).
You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers.
You take pride in strong
technical fundamentals
, love learning, and are willing to invest in your own development.
Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly.
Bonus skills & attributes
None of these are required, but they’re nice to have:
Experience at
AI native companies
that
train and/or run inference for their own models
(e.g. modern AI labs or AI‑native product companies).
Experience running training or inference workloads on
Kubernetes
.
Experience with
AWS
or other major cloud providers.
Production experience with
Python
in ML or infrastructure contexts.
Demonstrated
passion for technology
through personal projects, open source, meetups, or publishing content about your work and learnings
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Shenzhen / Dongguan / Guangzhou / Foshan
Workplace: hybrid
Ajax Systems is expending and is looking for a Senior/Lead Hardware Engineer to strengthen our team in China.
Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses of any scale. To date, the Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation.
As a Senior Hardware Engineer, you will not only design circuits but also serve as a technical cornerstone for our R&D in China.
We are looking for an expert who brings strategic value: someone who can oversee complex system architectures, consult on cross-departmental optimizations, and mentor the team on high-performance design methodologies. You will be the bridge between innovative concepts and mass-scale manufacturing.
Key Responsibilities
Architecture & Design:
Develop sophisticated schematic solutions and PCB layouts for new Ajax devices, ensuring high reliability and scalability.
Strategic Optimization:
Proactively identify opportunities for cost reduction and performance enhancement through component unification and innovative architectural shifts.
Project Oversight:
Lead complex hardware projects from initial concept through to mass production (10,000+ units/month), ensuring all technical risks are mitigated.
Cross-Functional Consultation:
Act as a subject matter expert for the firmware and supply chain teams to optimize the hardware-software interface and manufacturing yield.
Prototype Lifecycle:
Lead the “bring-up” process, debugging complex issues and defining rigorous testing protocols for design validation.
Requirements
Advanced Circuit Design:
Expert-level calculation of circuit elements and high-fidelity simulations of device behavior.
EDA Mastery:
Professional proficiency in Altium Designer (experience with managed libraries and 3D modeling is preferred).
Design for Excellence (DfX):
Proven track record of designing for LVD/EMC compliance and mass manufacturing (DFM/DFT).
Power Management:
Deep expertise in designing both battery-powered and mains-powered (85–265 VAC) devices.
Full Lifecycle Ownership:
Experience preparing comprehensive production documentation (BOM management, Gerber files, assembly drawings) using Git for version control.
Communication:
Fluent English is required for technical documentation and international collaboration.
Preferred Qualifications
Supply Chain Leadership:
Direct experience working with vendors and manufacturers for high-volume production.
High-Speed Design:
Advanced understanding of Signal Integrity (SI) and Power Integrity (PI). Experience with S-parameters, PDN impedance modeling, and TDR measurements.
System-Level Thinking:
Ability to write or review embedded software (C/C++, STM32) to facilitate deep-level debugging and hardware-software co-design.
Regulatory Mentorship:
Experience guiding products through global certifications (UL, CE, RED), beyond basic compliance.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We're hiring a Staff Controls Software Engineer to join our Controls team based in London.
We are seeking an experienced Staff Controls Software Engineer to lead the development, integration, and maintenance of our production-grade control software for humanoid robotic systems.
This role sits at the intersection of controls and software engineering - focused on turning advanced control strategies into robust, maintainable, and validated production systems. You’ll be responsible for ensuring that the control stack powering our robots is deterministic, safe, tested, and deployable at scale.
You bring both deep robotics control experience (10 years in robotic system development) and strong software engineering discipline — designing architectures that perform reliably in real-time environments.
WHAT YOU’LL DO
- Design and maintain modular, real-time control architectures supporting locomotion, manipulation, and teleoperation.
- Implement high-performance control loops and middleware interfaces for deterministic, safe operation.
- Industrialize algorithms, ensuring production readiness, maintainability, and performance.
- Establish clear software boundaries and interfaces between motion planning, control, and hardware layers.
- Translate research prototypes into scalable, maintainable, and testable control software.
- Apply modern software development practices (CI/CD, code reviews, testing frameworks, documentation).
- Define reliability, latency, and safety metrics and enforce them throughout the control stack.
- Lead the integration of real-time control software on embedded or Linux-based systems, ensuring consistent behavior across hardware targets.
- Develop automated testing frameworks (simulation, hardware-in-the-loop, regression, and performance testing).
- Drive release and version management of the control stack, ensuring stability across branches and deployments.
- Conduct profiling, benchmarking, and performance validation on robotic hardware.
- Define release protocols to ensure reproducibility and verifiable system behavior.
- Implement software-based fail-safes, watchdogs, and redundancy mechanisms for safety-critical control paths.
- Work closely with hardware and safety teams to ensure fault detection, graceful degradation, and safe state transitions.
- Lead by example through hands-on coding, code reviews, and system-level debugging.
- Mentor engineers on control software best practices, testing methodologies, and performance optimization.
- Contribute to the long-term control software roadmap, guiding architecture evolution and quality standards.
WHAT WE'RE LOOKING FOR
- B.S., M.S., or Ph.D. in Robotics, Control, Computer Engineering, or a related field.
- 10+ years of experience developing robotics control software for real-time systems.
- Proven expertise in C++ (modern standards) and Python for software implementation, testing, and automation.
- Strong background in control theory, robot kinematics & dynamics, and real-time control systems.
- Experience in deploying and validating control software both in simulation and on physical robotic platforms.
- Solid understanding of software architecture, version control (Git), CI/CD pipelines, and automated testing.
- Excellent debugging, profiling, and system performance optimization skills.
- Track record of shipping production-quality robotics software, not research prototypes.
- Proven experience managing software lifecycle, including release management and cross-team integration.
Nice to have:
- Experience with ROS2, real-time Linux, or RTOS environments.
- Familiarity with relevant tools and libraries like Eigen, Pinocchio, Placo, PyTorch, MuJoCo, etc.
- Familiarity with safety-critical systems, redundancy, and failover mechanisms.
- Background in whole-body control, actuator coordination, or real-time trajectory execution.
- Experience in Joint/Cartesian Impedance and force control
- Strong communication and leadership skills, with the ability to influence architecture decisions and engineering culture.
- Experience in learning-based control methods (e.g. RL, imitation learning)
WHAT WE OFFER
- Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
- Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support.
- Equity included–we believe builders should share in what they build.
- Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are seeking a Teleoperation Control Engineer to help build the systems that let human operators safely, confidently, and precisely control advanced robots. This role sits at the intersection of robot control, real-time software, operator UX, hardware integration, and human-in-the-loop workflows.
You will develop the core teleoperation capability that enables operators to guide, recover, teach, and improve robot behavior in real time. That includes intuitive control mappings, reliable command pipelines, clear operator feedback, high-quality data capture, and safeguards for safe use around real hardware.
We are open to strong candidates from junior through staff level. The key traits are hands-on robotics ability, strong engineering judgment, care for software quality, and a product-minded instinct for making complex robot systems intuitive for operators.
WHAT YOU’LL DO
- Develop teleoperation capabilities for controlling robots across manipulation, mobility, and loco-manipulation tasks.
- Design intuitive operator experiences, including input mappings, visualizations, feedback loops, recovery flows, and workflows that reduce cognitive load and improve operator confidence.
- Integrate input devices such as VR controllers, gloves, haptic devices, motion capture systems, and custom operator stations into the robot software stack.
- Translate noisy, high-frequency human input into smooth, stable, physically feasible robot commands with predictable behavior.
- Build robust teleoperation infrastructure for real-time data streaming, calibration, replay, debugging, logging, operator training, and high-quality demonstration capture.
- Develop shared-autonomy and assistive-control features that blend human intent with robot capability to improve precision, safety, and ease of use.
- Create safe operating boundaries, limiters, alerts, emergency/recovery flows, and clear state feedback so robot operators can use teleoperation safely.
- Define and improve quality metrics for teleoperation systems, including latency, reliability, observability, operator success rate, demonstration quality, and failure modes.
- Stress-test teleoperation systems on real hardware and in simulation, then drive reliability improvements based on operator feedback and observed failures.
- Work closely with controls, manipulation, hardware, and operations teams to ensure teleoperation requirements shape robot design and field workflows.
WHAT WE'RE LOOKING FOR
- Strong robotics fundamentals, including kinematics, coordinate frames, control interfaces, state estimation basics, and real-time system behavior.
- Experience building a subset of the following: teleoperation systems, operator UIs, shared-autonomy tools, human-robot interfaces, or robot learning data-collection pipelines.
- Ability to write reliable software in C++ and/or Python, with experience in ROS/ROS2, real-time data streaming, or robotic middleware.
- Good intuition for human-in-the-loop systems: how operators perceive robot state, issue commands, recover from errors, and build trust.
- A quality mindset: clean abstractions, testing, logging, observability, performance tuning, and tools that remain usable under pressure.
- Strong debugging skills across the stack, from operator input devices to robot motion, sensors, networking, and hardware behavior.
- Comfort iterating quickly on real robots, learning from operator feedback, and turning prototypes into robust capabilities.
- Clear communication and collaboration with cross-functional teams.
Nice to have:
- Hands-on experience building or debugging software for real robotic hardware, ideally in manipulation, mobile manipulation, humanoids, or dexterous systems.
- Experience designing safe workflows for hardware-facing systems where latency, instability, poor feedback, or misuse can create operational risk.
- Experience collecting high-quality demonstrations for imitation learning, behavior cloning, or other robot learning workflows.
- Exposure to intent inference, haptics, force feedback, motion capture, VR/AR interfaces, or custom control devices.
- A product-minded approach to robotics: caring not only that the robot moves, but that control is intuitive, safe, reliable, and pleasant for operators to use.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ days time off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: US, Boston, MA
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We design robots in simulation before building them in hardware.
As a Robotics Simulation & RL Engineer, you will help design and validate future generations of our robotic platforms - including bipedal and wheeled systems - using physics simulation and reinforcement learning.
You will develop tools to determine whether a robot design can perform real-world tasks before committing to hardware. Your work will directly inform robot architecture, actuator selection, sensor placement, and control strategies.
A key responsibility of this role is owning and validating the canonical robot models (URDF and simulation assets) used across simulation and control stacks.
WHAT YOU’LL DO
- Design and evaluate new robot platforms using physics simulation
- Analyze robot capabilities including workspace, manipulability, dynamic balance, and torque limits
- Use reinforcement learning to stress-test robot designs and explore capability limits
- Own and maintain URDF models of current and future robot platforms
- Maintain the CAD → URDF → simulation pipeline
- Develop tools and benchmarks to evaluate locomotion, manipulation, and platform robustness
- Provide quantitative feedback to hardware teams on actuator sizing, joint placement, mass distribution, and sensor layout
- Collaborate with mechanical, control, and perception teams to guide platform design decisions
WHAT WE'RE LOOKING FOR
- M.Sc http://M.Sc. or Ph.D. in Robotics, Mechanical Engineering, Control, or a related field
- Strong foundation in robot kinematics and dynamics
- Experience with robot simulation environments (MuJoCo, Isaac Sim, Gazebo, or similar)
- Experience with reinforcement learning in robotics or physics-based simulation
- Experience working with URDF or similar robot description formats
- Strong programming skills in Python and/or C++
- Experience training RL locomotion or manipulation policies
Nice to have:
- Experience with legged, humanoid, or wheeled robots;
- Experience with whole-body control or torque-controlled robots;
- Experience with simulation-driven hardware design;
- Experience building large-scale RL training pipelines.
WHAT WE OFFER
- Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
- Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
- 401(k) retirement plan with a 4% employer match.
- Equity included–we believe builders should share in what they build.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
For this role in Massachusetts, the target base salary range is $200K–$300K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We're hiring a Senior Dev/MLOps Engineer to join our Data & Compute Platform team based in London.
WHAT YOU’LL DO
- Own and manage the full lifecycle of both ML models and core infrastructure - from development and deployment to monitoring and continuous improvement.
- Build and maintain robust CI/CD pipelines for both software and ML workflows.
- Ensure reliability, scalability, observability, and security of production systems and ML infrastructure.
- Automate deployment, orchestration, and environment management using modern DevOps tooling.
- Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production.
- Proactively detect, troubleshoot, and resolve infrastructure and model performance issues.
- Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering.
- Document infrastructure, workflows, and operational procedures clearly and thoroughly.
WHAT WE'RE LOOKING FOR
- Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role.
- Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch.
- Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes).
- Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm).
- Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing.
- Ability to design scalable, secure, and observable systems in fast-moving environments.
- Strong debugging and problem-solving skills across distributed systems.
- Excellent collaboration and communication skills, with experience working in cross-functional teams.
- Understanding of security and compliance best practices for both software and ML systems.
WHAT WE OFFER
- Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
- Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support.
- Equity included–we believe builders should share in what they build.
- Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
Location: Hong Kong
Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.
Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore
Have Fun
and
Is Motion Gaming Back?
, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.
Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities.
Important Notice:
⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in
@nex.inc
. If you receive a suspicious email or message, please do not respond and report it immediately to us.
Location: Hong Kong
Report to: CTO
The Role
As Director / Senior Director of Platform Software Engineering, you will own the software platform that powers every Nex Playground in the world — from the moment a family unboxes the device through years of daily play. You will lead end‑to‑end across PlayOS (our Android‑based device OS) and cloud services: OS that gives hardware life, OTA updates that reach a growing global fleet, the Play Pass subscription engine, and the compliance infrastructure that lets us launch in new countries with confidence. You will drive architectural direction, set engineering standards, and grow a high‑performing team. You'll stay hands‑on when it counts most and know when to let your leaders lead.
The Mindset
First‑principles, customer‑obsessed, decisive. Perseveres to the highest standards and challenges assumptions. Resilient through production incidents, coachable at every level. Grows engineers into owners and leaders. Empathetic, leads with trust, gives tough feedback, builds a culture of accountability. Executes with discipline — insists on engineering excellence to deliver reliable, secure outcomes at scale.
Success Looks Like
Millions of Playgrounds worldwide, reliably updated over the air. PlayOS that delights families from first unbox through years of daily play — across every market Nex enters. Standards that let the team ship fast with confidence. Strong leaders in your team across device and cloud who own outcomes independently. The platform behind every game, every feature, every market launch.
Key Responsibilities
Platform & Team Leadership
Set platform software strategy in partnership with Product Design and company leadership
Build a high‑performing engineering team — raise the engineering bar, grow engineers into owners and develop strong leaders
Build Nex's in‑house platform engineering capability and DevOps practices, evolving from external partnerships to Nex‑led development
PlayOS Delivery
Implement OS platform roadmap — balancing new capabilities with system health, performance, security, and compliance
Guide the hardest trade‑offs across architecture, compatibility, and hardware integration
Drive international compliance — children's privacy (GDPR, COPPA) and localization for every new territory
Cloud & Services
Establish standards across cloud services, OTA pipelines, and the Play Pass subscription platform
Ensure reliability, security, privacy, and operational excellence as the fleet scales globally
Set high standards for observability, incident response, and continuous improvement
Must Have
Experience leading teams delivering operating systems and cloud services in production at scale
Proven people leadership: hires and builds high-performing teams, develops managers, and coaches individuals through clear feedback, growth plans, and high standards
Strong technical judgment across device software and cloud systems — hands‑on when it matters
Track record raising the bar on quality, reliability, security, privacy, and compliance
Significant flexibility working across global timezones
Nice to Have
Experience with subscription or commerce platforms
Familiarity with reliability practices (SLOs, observability, incident response)
Experience with consumer privacy regulations (GDPR, COPPA, or equivalent) in a shipped product
Experience with connected devices and fleets
Experience building products for kids or families
Experience with hardware‑software integration and lifecycle support
#LI-Onsite
We Offer
Competitive compensation package.
Flexible working hours and vacation policy.
Product-driven culture that treasures talents and individual growth.
Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field
Nex is located in
San Jose, California, USA
and
Hong Kong
. Learn more about us at
https://www.nexplayground.com/about
.
We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
Location: Panama, Remote
Are you an innovative
Design Engineer
ready to drive the next generation of mining products within th
e Mineral Processing Business Line
? Bradken, a global leader with more then 3,500 workforce globally in the mining sector, is seeking a talented professional to join our team. This is an exciting opportunity to provide design and engineering expertise in the development of new products and solutions that shape the industry.
Reporting to the
Engineering Team Lead
, you will be responsible for delivering design, development, and engineering services across our diverse product portfolio, while working closely with regional stakeholders.
About the Role
As a
Design Engineer
, you will leverage your technical expertise to deliver solutions that directly impact our customer operations and performance. This role involves close collaboration with the Regional Sales Manager based in Panama, combining engineering excellence with strong customer engagement.
This is a
remote role
, requiring regular technical site visits and consistent check-ins at mining operations to ensure optimal performance and customer satisfaction. The role follows a
Monday to Friday schedule
, with a
flexible working approach
to support a healthy work-life balance. There are no shift-based mining schedules associated with this position. Success is measured through performance, a strong One Bradken mindset, and a results-driven, goal-oriented approach.
You will play a key role supporting a major regional mining operation, ensuring delivery of contractual engineering commitments including on-site technical support, regular inspections, performance monitoring, and identification of optimization opportunities.
Key Responsibilities
Develop advanced
3D models
for high-wear applications, ensuring optimal material flow.
Execute
3D DEM simulations
to predict wear patterns, optimize liner profiles, and validate performance.
Perform
precision reverse engineering
of components to identify improvement opportunities.
Produce detailed
2D technical drawings
for manufacturing and installation.
Collaborate closely with the
Regional Sales Manager (Panama)
to translate customer needs into high-performance engineering solutions.
Conduct
regular technical site visits
and maintain ongoing engagement with mining operations.
Identify
cost-saving and performance improvement opportunities
.
Skills & Technical Criteria
Degree in Mechanical Engineering or related discipline (or equivalent experience).
Strong expertise in
Ansys FEA and DEM software
.
High proficiency in
CAD software (Unigraphics NX)
, including advanced 3D modeling and 2D drafting.
Proven experience developing innovative products aligned with customer operational needs.
Fluent in
English and Spanish
(written and spoken).
Understanding of
project management or related tools
Strong ability to
communicate effectively at all organizational levels
.
Valuable (Not Mandatory)
Knowledge of mineral processing circuits and material handling equipment (conveyors, chutes, etc.).
Familiarity with
Teamcenter PLM
.
Experience supporting mining operations in Latin America and/or other markets.
Core Competencies (Synthesized)
Customer Focus:
Anticipates needs and delivers practical, high-impact solutions.
Collaboration:
Works cross-functionally and builds strong relationships with stakeholders.
Accountability:
Takes ownership of results and drives continuous improvement.
Why Join Bradken?
Safety-first culture
Flexible working arrangements
Competitive total rewards package
Annual performance bonus
Learning and development opportunities
Education assistance
Employee Assistance Program (EAP)
Community involvement initiatives
Important Information:
If you’re ready to be part of a team that’s shaping the future of mining, please apply with your updated resume and an optional cover letter outlining why this role is the right next step for you.
Before commencing employment, you will be required to complete psychometric assessment, Microsoft skills assessment and a pre-employment medical including drug and alcohol testing.
WE RESPECTFULLY REQUEST NO RECRUITMENT AGENCY APPROACHES
Bradken is an Equal Opportunity Employer and we are committed to providing a diverse, inclusive, engaging and flexible environment for our people because great things happen when individuals are given the opportunity to bring themselves into their work. All employment will be based on merit, competence, performance and business needs.
Location: San Francisco, CA
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
As Executive Assistant to 3 Senior Leaders (VP, Workplace & Real Estate, VP, Reward & Wellness, and Director, HR Operations), you’ll be responsible for keeping the leaders and teams organized, aligned, and helping them maintain focus while scaling for growth and delivering an exceptional internal and external experience. In this role, you’ll be directly supporting the VP, Workplace & Real Estate, VP, Reward & Wellness, and Director, HR Operations to strategically manage day-to-day administrative and operational needs, infuse Figma’s culture and values in the work to create a meaningful Figmate experience, and cross-functionally collaborate with the broader People Org and stakeholders across Figma.
This is a full-time role based out of our SF Hub.
What you'll do at Figma:
Assist your Executives (VP, Workplace & Real Estate, VP, Reward & Wellness, and Director, HR Operations) with calendar, travel, meetings, tasks, notes, emails
Serve as a strategic partner to the VPs and their leadership teams, with a focus on team cohesion, operations, and planning
Identify areas to optimize the VPs’ time and make recommendations regarding time management, prioritization, and business needs
Act as a delegate for the VPs by signing off on expenses, approving POs, and managing other tooling as needed, with careful attention to internal policy
Find opportunities for process optimization across team and company workflows
Prepare and/or build content, presentations, and key documents for the VPs
Partner cross-functionally with the People Team and other internal teams to ensure alignment on projects, company milestones, and internal events
We’d love to hear from you if you have:
6+ years of experience in a senior administrative support role
Experience working in a fast-paced environment with the ability to adapt quickly to changing demands and dedication to fostering inclusivity and navigating initiatives through an optimistic lens
Outstanding communication skills and the ability to connect with a broad spectrum of stakeholders internally and externally, both in person and online
The ability to shift gears and prioritize based on the volume and urgency of requests
Expertise in prioritizing, connecting dots, and anticipating needs and a commitment to being trustworthy, reliable, and maintaining the strictest confidentiality
While it’s not required, it’s an added plus if you also have:
Experience with our product suite
Supported teams of 100+ people (bonus points for complex global teams)
Previous experience supporting Recruiting or Workplace teams
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$127,000
—
$269,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: Athens, Greece; Limassol, Cyprus
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
Role background
Responsible for the Workplace Experience and Operations for a geographical region spanning 10 countries, our Workplace Managers combine People, Technology, and Space across Office and Serviced Office locations to create an exceptional workplace experience for our Employees, Visitors, Contractors and Courier Partners. Regional Workplace Managers support their direct reports (in country workplace managers) to perform at their best, providing guidance and oversight to ensure our workplaces’ functionality, comfort, safety, sustainability and efficiency; whilst ensuring that our office ‘hubs’ are properly set up for collaboration and focus as well as our smaller satellite locations without onsite staff appropriately situated, supported and well-equipped.
What you’ll be doing
Lead a regional team of Workplace Managers & Workplace Coordinators in ensuring our workplace experience supports Wolt’s mission & values and team objectives are met.
Setup and onboard new offices as Wolt expands in your region. Partner with business leads, local and global teams to ensure effective communication with landlords, internal and external stakeholders so that office projects in your region can be delivered on time and in accordance with both Wolt’s global standards and any local requirements.
Ensure all sites within the regional portfolio are managed and maintained to a high standard and in compliance with local and global policies and guidelines.
Build department policies and procedures in conjunction with Wolt’s Global Workplace and Facilities manager, complying with International Health and Safety Standards.
Partner with South region teams such as Physical Security and Safety, Sustainability and People to provide office specific program roll outs for initiatives such as Health and Safety, Sustainability and DEI, Internal Events and Community.
Partner with Integrated Facilities Management Vendors to ensure safe and compliant workspaces and that service level agreements are met. Conduct formal site condition inspections and work closely with responsible parties to ensure any deficiencies identified are resolved.
Create and own the development of annual Opex budgets for your region, tracking and reporting on financial variance and operations expenses management.
Our Humble Expectations
8+ years previous experience, including regional-role experience, in Workplace or Facilities Management in a global organization within a fast-paced and high growth environment
Bachelors or equivalent years of experience. Industry body qualifications (IWFM, CFM or similar) are a bonus.
Excellent organizational skills and attention to detail
Strong leadership capabilities, proven experience to motivate and lead a team
Excellent communication and interpersonal skills, and the ability to work with internal and external stakeholders
A demonstrated ability to work collaboratively across departments and levels within a complex organization.
Ability and willingness to travel in order to properly support all locations in-Region (especially during office relocations and openings)
Excellent written and verbal communication skills in English. Ability to work autonomously in a fast-moving environment, strong relationship building and stakeholder management skills, and a true growth mindset to consistently learn and develop skills.
Comfortable collaborating remotely and dynamically using digital tools such as GSuite, Slack and Zoom.
The successful candidate's starting pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions.
This position would be eligible for consideration for an equity award grant of restricted stock units on commence and during the annual pay review cycle. Upon commencement of employment, you would be eligible to be considered for a grant. Thereafter, any further grants would be at the Company's discretion.
Pay Range:
€2.830
—
€3.538 EUR
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
Location: Frankfurt am Main, Hesse
Workplace: hybrid
We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
We are looking for a Compliance & AML Officer who will be accountable for the design, implementation, and ongoing oversight of both the regulatory compliance and AML/CTF frameworks for the newly established German Branch. The role carries dual responsibility: ensuring full adherence to MiFID II/MiFIR and BaFIN conduct and organisational requirements as applied in Germany, and maintaining a robust AML/CTF programme aligned with German AML regulations, EU requirements, and group standards.
Key Responsibilities:
Compliance Framework (MiFID II / MiFIR & BaFIN’s requirements)
Act as the designated Compliance Officer (CO) under German regulatory requirements and MiFID II organisational obligations.
Design and maintain the compliance monitoring programme.
Monitor and ensure adherence to BaFIN and ESMA regulations.
Review financial promotions, marketing materials, and client communications for compliance with applicable rules.
Maintain the compliance risk register and prepare periodic compliance monitoring reports for senior management.
AML/CTF Framework
Act as the appointed Anti-Money Laundering Officer (AMLCO) under German regulatory requirements
Develop, implement, and maintain AML/CTF policies, procedures, and controls.
Ensure effective customer due diligence (CDD), enhanced due diligence (EDD), transaction monitoring, and suspicious activity reporting (SAR).
Oversee AML risk assessments and ensure alignment with the firm’s risk appetite.
Regulatory & Governance
Serve as the primary point of contact with BaFin and FIU Germany on AML/CTF matters.
Ensure compliance with German AML Act (GwG), EU AML Directives, and applicable EBA/ESMA guidelines.
Lead regulatory reporting, audits, and inspections related to compliance and/or financial crime.
Provide regular reporting to senior management and the board on compliance AML risks and controls.
Advisory & Oversight
Advise senior management on Compliance and AML/CTF risks, regulatory developments, and control enhancements.
Ensure effective escalation of Compliance and financial crime risks and incidents.
Training & Culture
Develop Compliance and deliver AML/CTF training programs across the Germany entity.
Promote a strong compliance culture and awareness of Compliance and financial crime risks.
Coordination
Collaborate with group Compliance, Risk, Legal, and Operations to ensure consistent application of regulatory compliance and AML standards.
Align local AML practices with group frameworks while meeting German-specific requirements.
Key Requirements:
5+ years of proven experience as Regulatory Compliance Officer and/or AMLCO or senior AML function holder in Germany within a regulated financial services firm.
Strong knowledge of MiFID II/MiFIR and BaFin applicable regulations.
Deep knowledge of German AML law (GwG), BaFin expectations, and EU AML framework.
Strong understanding of brokerage/trading or fintech business models.
Experience dealing directly with regulators (including BaFin) and FIUs.
Strong analytical, judgment, and stakeholder management skills.
Fluency in German and English.
What you will get in return:
•
Competitive Salary:
We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
•
Work-Life Harmony:
Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
•
Generous Time Off:
Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
•
Employee Referral Program:
Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
•
Comprehensive Health & Pension Benefits:
From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
•
Workation Wonderland:
Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
•
Volunteer Days:
Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.
Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.
ОфисseniorUS, Boston, MA
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ОфисUK, London; We are open to strong candidates from junior through staff level
ОфисUS, Boston, MA
ОфисseniorUK, London
seniorHong Kong; Nex employees may be expected to collaborate with colleagues across different time zones; Significant flexibility working across global timezones