At a Glance
- Tasks: Build innovative systems to enhance safety detection and improve real-world outcomes.
- Company: Join a pioneering tech company transforming global operations with IoT solutions.
- Benefits: Competitive pay, flexible remote work, professional development, and comprehensive health plans.
- Other info: Collaborative environment with opportunities for growth and learning in cutting-edge technologies.
- Why this job: Make a tangible impact on industries that keep the world running safely and efficiently.
- Qualifications: 4+ years in software development, strong backend skills, and a passion for customer experience.
The predicted salary is between 63000 - 77000 £ per year.
Who we are: The company (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At the company, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing.
Working at the company means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term.
As a Senior Software Engineer on the Safety Detection Precision team, you'll help close the gap between AI detection of safety risk on the road and customers' expectation of a coachable moment. You'll build the core systems that review detections, intelligently identify ambiguous cases, and automate triage on either side — both surfacing real-world data that can improve the next generation of detection models and ensuring today's detections translate into meaningful real-world risk reduction.
This role is a strong fit for an engineer who enjoys shaping ambiguous, high-impact systems end-to-end and wants to directly influence customer trust and value in the company's Safety products.
You should apply if:
- You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
- You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries.
- You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
- You believe customers are more than a number: The company engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
- You are a team player: Working on our Engineering teams requires a mix of independent effort and collaboration.
In this role, you will:
- Build and evolve the core systems that review safety detections and determine which events are surfaced to customers.
- Improve detection precision by developing intelligent approaches to identifying ambiguous cases, deflecting low-value reviews, and automating triage where confidence is high.
- Work at the intersection of backend systems, data, and AI-driven decisioning to improve both customer-facing product quality and internal review efficiency.
- Partner closely with product, design, AI and ML infra to turn real-world review outcomes into better model feedback loops and higher-quality safety detections over time.
- Own complex projects end-to-end, from shaping the approach and technical design through rollout, measurement, and iteration in production.
- Use modern AI-assisted engineering workflows pragmatically to accelerate prototyping, implementation, debugging, and iteration while maintaining strong engineering judgment, reliability, and code quality.
- Raise the bar for quality, operability, and engineering clarity across a critical part of the company's Safety platform.
Minimum requirements for the role:
- 4+ years of software development experience, primarily in backend or distributed systems.
- Experience on a product engineering team shipping systems that solve real customer problems.
- Demonstrable focus on customer experience, with the ability to connect technical decisions to customer value.
- AI-first engineer who consistently uses modern AI coding and reasoning tools to improve engineering efficiency, accelerate delivery, and raise the quality of codebases.
- Strong programming and software engineering fundamentals, with experience building production systems in at least one modern programming language.
- Experience designing and building large-scale, high-throughput systems.
- Experience operating in a data led and data backed environment.
- Strong cross-team and cross-functional communication, collaboration, and problem-solving skills.
An ideal candidate also has:
- Deep experience developing AI-native engineering workflows across design, implementation, debugging, testing, and automation.
- Experience operating or building real-world review systems, whether human review, AI review, or adjacent workflows used for data annotation or customer-facing quality control.
- Experience partnering closely with AI or ML teams, and familiarity with classifier-based systems or model-driven product workflows.
- Deep experience in one or more backend-oriented languages commonly used for production systems, such as Go, Java, or similar.
- Experience designing orchestrated pipelines or workflow-based systems, including technologies such as Temporal or similar frameworks.
- A data-driven mindset, including digging into problems deeply, validating outcomes against reality, and using evidence to guide next steps.
- A track record of raising the bar for a team by improving systems, contributing to team culture, mentoring others, and helping teammates deliver better outcomes.
- Curiosity and ambition to challenge existing product and engineering approaches to solving real-world problems.
Total Rewards: At the company, we build for the people who keep the global economy moving. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company.
Flexible Working: We embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements.
Belonging at the company: We welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law.
Accommodations: The company is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities.
Senior Software Engineer - Safety Detection Precision employer: United States Digital Space LLC
United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.
Contact Details:
United States Digital Space LLC Recruitment Team
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We think this is how you could land Senior Software Engineer - Safety Detection Precision
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We think you need these skills to ace Senior Software Engineer - Safety Detection Precision
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at United States Digital Space LLC.
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How to prepare for a job interview at United States Digital Space LLC
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If United States Digital Space LLC uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
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While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.