At a Glance
- Tasks: Build innovative systems to enhance safety detection and improve customer trust.
- Company: Join Samsara, a leader in IoT solutions transforming global operations.
- Benefits: Enjoy competitive pay, flexible remote work, and professional development opportunities.
- Other info: Collaborative culture with excellent growth potential and a commitment to diversity.
- Why this job: Make a real impact on safety technology while working with cutting-edge AI.
- Qualifications: 4+ years in software development, strong programming skills, and AI experience.
The predicted salary is between 70000 - 90000 £ per year.
Overview
Samsara (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 Samsara, 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 — and we are excited to help digitally transform their operations at scale.
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 Samsara’s Safety products.
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 Samsara’s Safety platform.
Minimum requirements:
- 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 Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. 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.
Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more.
Flexible Working
At Samsara, 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 Samsara
At Samsara, 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
Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities.
Fraud awareness
Our Commitment to Authenticity: We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud.
Senior Software Engineer - Safety Detection Precision in Harrow employer: Trace
Samsara is an exceptional employer that empowers its employees to drive meaningful change in the world of physical operations through innovative technology. With a strong focus on professional development, competitive compensation, and a flexible working model, Samsara fosters a collaborative and inclusive work culture where every team member can thrive. Join us in shaping the future of safety and efficiency while enjoying the benefits of a supportive environment that values your contributions and growth.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer - Safety Detection Precision in Harrow
✨Join Local Tech Meetups
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We think you need these skills to ace Senior Software Engineer - Safety Detection Precision in Harrow
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 Trace.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Trace and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Trace
✨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 Trace 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.
✨Prepare for Behavioural Questions
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.