About Company :
Our client is a Palo Altobased AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the Intelligent Talent Cloud, Turing enabled companies to spin up their engineering dream team in the cloud by sourcing and managing vetted global talent.
In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deploymentpowered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta.
Job Title : C++ : Pan : 5+ Type : Contract to Mode : Period : Immediate :
- 5+ years of experience in software engineering, algorithm design, or systems-level programming.
- Strong proficiency in C++ with at least 4+ years of experience.
- Proven ability to write clear, concise, and technically challenging algorithmic code.
- Strong understanding of algorithmic complexity, performance optimization, and computational constraints.
- Experience with test automation, benchmark creation, or complex systems evaluation is a strong plus.
- Familiarity with modern software data formats (e.g., JSON, YAML) and version-controlled of Expertise :
Successful candidates will demonstrate deep fluency in at least four of the following areas :
Core Data Structures : Trie, Segment Tree, Union FindAlgorithmic Paradigms : Dynamic Programming, Greedy Algorithms, BitmaskingGraph Algorithms : Shortest Paths, Network Flow, Topological SortingMathematics & Number Theory : Geometry, Probability, Modular ArithmeticString Processing : Suffix Trees, Rolling Hashing, Pattern MatchingAdvanced Topics : 2-SAT, Fast Fourier Transform (FFT), Linear Responsibilities :Design, develop, and maintain high-performance C++ applications and libraries.Write clean, efficient, and well-documented algorithmic code for real-world applications.Optimize code for computational efficiency, memory usage, and speed.Collaborate with cross-functional teams to design robust solutions for complex systems.Implement automated tests and benchmarks to evaluate system performance.Work on performance-critical components and conduct deep analysis of bottlenecks.Utilize modern software development tools and practices including version control and agile methodologies.Engage in regular code reviews and knowledge sharing sessions.(ref : hirist.tech)