Pre-sales Engineer - Navigation Systems

Advanced Navigation Pty
London
2 months ago
Applications closed

Related Jobs

View all jobs

Principal Naval Architect (Weights)

Principal Naval Architect (Weights)

Senior Java Engineer

Project Engineer

Vice President Data Science

Data Scientist

Advanced Navigation is one of the world’s most ambitious innovators in AI robotics and navigation technology across land, air, sea and space. While our main headquarters are in Sydney, we have multiple research facilities in Australia and sales offices around the world.

Today, Advanced Navigation is a supplier to some of the world's largest companies and helps automate some of the worlds biggest industries. Hydrus, our revolutionary underwater robot will help restore oceans to a flourishing state. You will find our navigation systems in the autonomous Indy race cars and thousands of Plus AI autonomous trucks. We help farmers adopt autonomous farming equipment and assist in various fields of research. Switching to software, our cloud-based drone management platform helps patrol beaches for emergency rescues and shark tracking. Off-planet, we will deliver a navigation system for the next NASA moon landing. The applications of our technologies are quite limitless - where there is autonomy, you will find Advanced Navigation.

Overview of Position

As a Pre-sales Engineer, your role revolves around ensuring our clients' success and satisfaction. This involves delivering consulting engineering services, offering expert technical advice, conducting thorough problem analysis, and devising solutions tailored to their specific needs.

You'll collaborate closely with our customers, gaining insight into their objectives and obstacles. Leveraging your technical acumen, you'll guide them towards achieving success with our products or services.

Additionally, you'll assist the sales team in maintaining customer satisfaction by overseeing timelines and keeping clients updated on progress. You'll also play a pivotal role in supporting technical implementations and addressing product issues and escalations, all geared towards delivering the utmost client satisfaction.

Role Responsibilities:

  • Research, resolve, and respond to a variety of customer technical issues, while also liaising with our engineering team to resolve software and hardware bugs discovered during support investigations;
  • Support the sales team by meeting with our most important customers in person, and preparing them for customer engagements;
  • Collaborate with the Sales Team on the qualification, development and execution with the company’s technical solutions that meet and exceed the customer’s application and opportunities;
  • Travel nationally / globally for specialised support and sales opportunities and also to conduct training for our customers;
  • Manage and maintain the dedicated regional loan pool in collaboration with Sales Operations;
  • Organise and support customer loans both from a technical and administrative perspective;
  • Analyse and problem solve high-level complex issues and provide in-depth technical assistance to account executives, engineers, and product managers;
  • Create and maintain internal and external support documentation including policies, standard operating procedures, guidelines, knowledge articles and customer facing tools (GUI’s and SDK’s etc);
  • Develop and nurture successful long-term relationships with our customers by creating a best-in-class customer experience;
  • Pass on potential RMA’s to the support team members based at Head Office for review and analysis;

Qualifications & Experience

  • Have studied at a higher education institution focused on engineering;
  • 3+ years of experience as a Pre-Sales or Solution/Application/Support Engineer or equivalent customer-facing role, preferably with experience supporting Geospatial, surveying, maritime, or robotic market segments;
  • An ability to quickly communicate complex ideas around a technical topic, ideally on the fly at a whiteboard;
  • A dedication to delivering a great customer experience while being a creative problem-solver in response to technical, product, and business questions;
  • Experience working in support environments using integrated CRM systems as well as tools such as Matlab for data analysis;
  • Interest in working in a fast-paced environment, to help customers accelerate their journey to creating an accurate position, velocity, acceleration and orientation under the most demanding conditions;
  • Effective presentation crafting and delivery skills;
  • A collaborative and team-oriented mindset for accomplishing goals.

What are some of the benefits you will have access to?

You'll have access to industry-leading products with diverse applications within some of the most interesting and exciting projects worldwide.

Advanced Navigation offers various medical plans per state, providing a comprehensive level of medical coverage.

We’re growing a team of inspired, smart, and driven individuals from all sorts of backgrounds. With great opportunities for growth and variety, we strive to help each employee carve out the path that’s right for them.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.